Power-based electric vehicle energy consumption model: Model development and validation

ADVISOR 2.1: a user-friendly advanced powertrain simulation using a combined backward/forward approach

Wipke, K. B., Cuddy, M., & Burch, S. D. (1999) · IEEE Transactions on Vehicular Technology · doi:10.1109/25.806767 · Cited by 713 · see citing works

Electric vehicles’ energy consumption measurement and estimation

Wu, X., Freese, D., Cabrera, A. E. F., & Kitch, W. A. (2014) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2014.10.007 · Cited by 555 · see citing works

Modeling and Simulation of Electric and Hybrid Vehicles

Gao, W., Mi, C. C., & Emadi, A. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.890127 · Cited by 447 · see citing works

Virginia Tech Comprehensive Power-Based Fuel Consumption Model: Model development and testing

Rakha, H. A., Ahn, K., Moran, K., Saerens, B., & den Bulck, E. V. (2011) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2011.05.008 · Cited by 322 · see citing works

Modeling and Simulation of Electric and Hybrid Vehicles

Mi, C. C., & Masrur, M. A. (2017) · doi:10.1002/9781118970553.ch14 · Cited by 320 · see citing works

Energy analysis of batteries in photovoltaic systems. Part I: Performance and energy requirements

Rydh, C. J., & Sandén, B. A. (2004) · Energy Conversion and Management · doi:10.1016/j.enconman.2004.10.003 · Cited by 314 · see citing works

Impacts of Electric Vehicle charging under electricity market operations

Foley, A. M., Tyther, B., Calnan, P., & Gallachóir, B. Ó. (2012) · Applied Energy · doi:10.1016/j.apenergy.2012.06.052 · Cited by 288 · see citing works

Investigation of the Effectiveness of Regenerative Braking for EV and HEV

Gao, Y., Chen, L., & Ehsani, M. (1999) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/1999-01-2910 · Cited by 284 · see citing works

Modeling the prospects of plug-in hybrid electric vehicles to reduce CO2 emissions

Doucette, R. T., & McCulloch, M. D. (2011) · Applied Energy · doi:10.1016/j.apenergy.2011.01.045 · Cited by 252 · see citing works

Well-to-Wheels Analysis of Advanced Fuel/Vehicle Systems: A North American Study of Energy Use, Greenhouse Gas Emissions, and Criteria Pollutant Emissions

USDOE Office of Energy Efficiency and Renewable Energy (EERE), O. O. S. T. B. T. O. (., Brinkman, N. D., Wang, M., Weber, T. R., & Darlington, T. L. (2005) · doi:10.2172/1218344 · Cited by 247 · see citing works

IMPACT OF VEHICLE AIR-CONDITIONING ON FUEL ECONOMY. TAILPIPE EMISSIONS, AND ELECTRIC VEHICLE RANGE: PREPRINT

Farrington, R. B., & Rugh, J. P. (2000) · University of North Texas Digital Library (University of North Texas) · Cited by 203 · see citing works

Vehicle lightweighting vs. electrification: Life cycle energy and GHG emissions results for diverse powertrain vehicles

Lewis, A. M., Kelly, J. C., & Keoleian, G. A. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.03.023 · Cited by 179 · see citing works

Simplified electric vehicle power train models and range estimation

Hayes, J. G., de Oliveira, R. P. R., Vaughan, S., & Egan, M. G. (2011) · IEEE Vehicle Power and Propulsion Conference (VPPC) · doi:10.1109/vppc.2011.6043163 · Cited by 152 · see citing works

Design and Control Principles of Hybrid Braking System for EV, HEV and FCV

Gao, Y., Chu, L., & Ehsani, M. (2007) · IEEE Vehicle Power and Propulsion Conference (VPPC) · doi:10.1109/vppc.2007.4544157 · Cited by 106 · see citing works

Highly-resolved modeling of personal transportation energy consumption in the United States

Muratori, M., Moran, M. J., Serra, E., & Rizzoni, G. (2013) · Energy · doi:10.1016/j.energy.2013.02.055 · Cited by 92 · see citing works

GIS-driven analysis of e-mobility in urban areas: An evaluation of the impact on the electric energy grid

Gennaro, M. D., Paffumi, E., Scholz, H., & Martini, G. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.03.003 · Cited by 88 · see citing works

On a probability distribution model combining household power consumption, electric vehicle home-charging and photovoltaic power production

Munkhammar, J., Widén, J., & Rydén, J. (2015) · Applied Energy · doi:10.1016/j.apenergy.2014.12.031 · Cited by 86 · see citing works

Design and simulation of a fast charging station for PHEV/EV batteries

Joós, G., de Freige, M., & Dubois, M. R. (2010) · IEEE Electrical Power & Energy Conference (EPEC) · doi:10.1109/epec.2010.5697250 · Cited by 85 · see citing works

Development and Use of a Regenerative Braking Model for a Parallel Hybrid Electric Vehicle

Panagiotidis, M., Delagrammatikas, G. J., & Assanis, D. N. (2000) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2000-01-0995 · Cited by 82 · see citing works

The effect of driving style on electric vehicle performance, economy and perception

Knowles, M., Scott, H., & Baglee, D. (2012) · International Journal of Electric and Hybrid Vehicles · doi:10.1504/ijehv.2012.050492 · Cited by 82 · see citing works

Simplified electric vehicle powertrain model for range and energy consumption based on EPA coast-down parameters and test validation by Argonne National Lab data on the Nissan Leaf

Hayes, J. G., & Davis, K. (2014) · IEEE Transportation Electrification Conference and Expo · doi:10.1109/itec.2014.6861831 · Cited by 81 · see citing works

Potential benefits of solar reflective car shells: Cooler cabins, fuel savings and emission reductions

Levinson, R., Pan, H., Ban‐Weiss, G., Rosado, P. J., Paolini, R., & Akbari, H. (2011) · Applied Energy · doi:10.1016/j.apenergy.2011.05.006 · Cited by 72 · see citing works

Electric vehicle’s energy consumption of car-following models

Yang, S., Deng, C. L., Tang, T., & Qian, Y. (2012) · Nonlinear Dynamics · doi:10.1007/s11071-012-0663-0 · Cited by 71 · see citing works

Road transport and power system scenarios for Northern Europe in 2030

Juul, N., & Meibom, P. (2011) · Applied Energy · doi:10.1016/j.apenergy.2011.11.074 · Cited by 68 · see citing works

Virginia Tech Comprehensive Power-based Fuel Consumption Model (VT-CPFM): Model Validation and Calibration Considerations

Park, S., Rakha, H. A., Ahn, K., & Moran, K. (2013) · International Journal of Transportation Science and Technology · doi:10.1260/2046-0430.2.4.317 · Cited by 59 · see citing works

Energy consumption model of an electric vehicle

Abousleiman, R., & Rawashdeh, O. A. (2015) · IEEE Transportation Electrification Conference and Expo · doi:10.1109/itec.2015.7165773 · Cited by 56 · see citing works

2012 7th International Forum on Strategic Technology (IFOST)

(2012) · doi:10.1109/ifost20365.2012 · Cited by 53 · see citing works

Preliminary experimental evaluation of a four wheel motors, batteries plus ultracapacitors and series hybrid powertrain

Rambaldi, L., Bocci, E., & Orecchini, F. (2010) · Applied Energy · doi:10.1016/j.apenergy.2010.08.008 · Cited by 48 · see citing works

Experimental Test Campaign on a Battery Electric Vehicle: Laboratory Test Results (Part 1)

Gennaro, M. D., Paffumi, E., Martini, G., Manfredi, U., Vianelli, S., Ortenzi, F., & Genovese, A. (2015) · SAE International journal of alternative powertrains · doi:10.4271/2015-01-1167 · Cited by 46 · see citing works

Field Testing Plug-in Hybrid Electric Vehicles with Charge Control Technology in the Xcel Energy Territory

Markel, T., Bennion, K., Krämer, W., Bryan, J., & Giedd, J. (2009) · doi:10.2172/963562 · Cited by 40 · see citing works

Impact of the Air-Conditioning System on the Power Consumption of an Electric Vehicle Powered by Lithium-Ion Battery

Mebarki, B., Draoui, B., Allaou, B., Rahmani, L., & Benachour, E. (2013) · Modelling and Simulation in Engineering · doi:10.1155/2013/935784 · Cited by 35 · see citing works

Development and validation of a physically-based computer model for predicting winter electric heating loads

Nehrir, M. H., Dolan, P. S., Gerez, V., & Jameson, W. (1995) · IEEE Transactions on Power Systems · doi:10.1109/59.373949 · Cited by 32 · see citing works

Evaluating the life cycle greenhouse gas emissions from a lightweight plug-in hybrid electric vehicle in a regional context

Lewis, A. M., Kelly, J. C., & Keoleian, G. A. (2012) · IEEE International Symposium on Sustainable Systems and Technology · doi:10.1109/issst.2012.6403806 · Cited by 30 · see citing works

Virginia Tech Comprehensive Power-Based Fuel Consumption Model

Edwardes, W., & Rakha, H. A. (2014) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2428-01 · Cited by 26 · see citing works

Model-based fault detection of a battery system in a hybrid electric vehicle

Gadsden, S. A., & Habibi, S. R. (2011) · IEEE Vehicle Power and Propulsion Conference (VPPC) · doi:10.1109/vppc.2011.6043175 · Cited by 21 · see citing works

Research on regenerative braking control strategy of hybrid electric vehicle

Zhou, M., Gao, Z., & Zhang, H. (2011) · International Forum on Strategic Technology · doi:10.1109/ifost.2011.6021027 · Cited by 20 · see citing works

A Study of Energy Requirements for Electric and Hybrid Vehicles in Cities

Chrzan, P. J., & Roye, D. (2003) · Cited by 19 · see citing works

Worldwide Harmonized Light-Vehicles Test Procedure (WLTP) und Real Driving Emissions (RDE) – aktueller Stand der Diskussion und erste Messergebnisse

Schmidt, H. (2015) · Proceedings · doi:10.1007/978-3-658-08844-6_97 · Cited by 18 · see citing works

Development and Validation of the Ford Focus Battery Electric Vehicle Model

Lee, D., Rousseau, A. P., & Rask, E. (2014) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2014-01-1809 · Cited by 18 · see citing works

Power Conversion and Control for Fuel Cell Systems in Transportation and Stationary Power Generation

Rajashekara, K., & Rathore, A. K. (2015) · Electric Power Components and Systems · doi:10.1080/15325008.2015.1034383 · Cited by 16 · see citing works

Analysis of Hybrid Rechargeable Energy Storage Systems in Series Plug-In Hybrid Electric Vehicles Based on Simulations

Fleurbaey, K., Omar, N., Baghdadi, M. E., Timmermans, J.-M., & Mierlo, J. V. (2014) · Energy and Power Engineering · doi:10.4236/epe.2014.68018 · Cited by 14 · see citing works

Mathematical Model of Electric Vehicle Power Consumption for Traveling and Air-Conditioning

Shibata, S., & Nakagawa, T. (2015) · Journal of Energy and Power Engineering · doi:10.17265/1934-8975/2015.03.006 · Cited by 12 · see citing works

Electric City Bus Energy Flow Model and Its Validation by Dynamometer Test

Halmeaho, T., Rahkola, P., Pellikka, A., Ruotsalainen, S., & Tammi, K. (2015) · IEEE Vehicle Power and Propulsion Conference (VPPC) · doi:10.1109/vppc.2015.7352942 · Cited by 11 · see citing works

Development of an electromechanical model for a Corbin Sparrow electric vehicle

Kollmeyer, P. J., Juang, L. W., & Jahns, T. M. (2011) · IEEE Vehicle Power and Propulsion Conference (VPPC) · doi:10.1109/vppc.2011.6043208 · Cited by 11 · see citing works

Validation of quasi-static series hybrid electric vehicle simulation model

Liukkonen, M., Hentunen, A., & Suomela, J. (2010) · IEEE Vehicle Power and Propulsion Conference (VPPC) · doi:10.1109/vppc.2010.5729100 · Cited by 10 · see citing works

Modeling Diesel and Hybrid Bus Fuel Consumption with Virginia Tech Comprehensive Power-Based Fuel Consumption Model: Model enhancements and Calibration issues

Edwardes, W., & Rakha, H. A. (2015) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2533-11 · Cited by 7 · see citing works

Minimizing Battery Stress during Hybrid Electric Vehicle Control Design: Real World Considerations for Model-Based Control Development

Vagg, C., Brace, C. J., Akehurst, S., & Ash, L. (2013) · IEEE Vehicle Power and Propulsion Conference (VPPC) · doi:10.1109/vppc.2013.6671713 · Cited by 5 · see citing works

Model Based Power-Split and Control for Electric Energy System in a Hybrid Electric Vehicle

Kumar, R., & Yao, B. (2006) · doi:10.1115/imece2006-14588 · Cited by 5 · see citing works

A trip-purpose based model of Plug-in Electric Vehicle charging demand

Hilshey, A. D. (2015) · IEEE Power Engineering Society General Meeting · doi:10.1109/pesgm.2015.7286370 · Cited by 4 · see citing works

Electric power consumption analysis model based on user activity for power saving

Cho, H. S., & Chang, H. S. (2013) · IEEE International Workshop on Intelligent Energy Systems (IWIES) · doi:10.1109/iwies.2013.6698568 · Cited by 4 · see citing works

Commercialization of Lithium Battery Technologies for Electric Vehicles

Zeng, X., Li, M., El‐Hady, D. A., Alshitari, W. H., Al‐Bogami, A. S., Lu, J. B., & Amine, K. (2019) · Advanced Energy Materials · doi:10.1002/aenm.201900161 · Cited by 1,550 · see citing works

Thermally modulated lithium iron phosphate batteries for mass-market electric vehicles

Yang, X., Liu, T., & Wang, C. (2021) · Nature Energy · doi:10.1038/s41560-020-00757-7 · Cited by 583 · see citing works

Electric vehicle energy consumption modelling and estimation—A case study

Miri, I., Fotouhi, A., & Ewin, N. (2020) · International Journal of Energy Research · doi:10.1002/er.5700 · Cited by 356 · see citing works

Electric vehicle charging demand forecasting model based on big data technologies

Arias, M. B., & Bae, S. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.08.080 · Cited by 347 · see citing works

Green vehicle routing problem: A state-of-the-art review

Asghari, M., & Al-e-Hashem, S. M. J. M. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2020.107899 · Cited by 312 · see citing works

Energy consumption estimation integrated into the Electric Vehicle Routing Problem

Basso, R., Kulcsár, B., Egardt, B., Lindroth, P., & Sanchez-Diaz, I. (2019) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2019.01.006 · Cited by 266 · see citing works

Exploring the interactive effects of ambient temperature and vehicle auxiliary loads on electric vehicle energy consumption

Liu, K., Wang, J., Yamamoto, T., & Morikawa, T. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.08.074 · Cited by 279 · see citing works

Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach

Qu, X., Yu, Y., Zhou, M., Lin, C., & Wang, X. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.114030 · Cited by 273 · see citing works

A Survey on the Electric Vehicle Routing Problem: Variants and Solution Approaches

Erdelić, T., & Carić, T. (2019) · Journal of Advanced Transportation · doi:10.1155/2019/5075671 · Cited by 270 · see citing works

Daily electric vehicle charging load profiles considering demographics of vehicle users

Zhang, J., Yan, J., Liu, Y., Zhang, H., & Lv, G. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115063 · Cited by 259 · see citing works

A high-efficiency energy regenerative shock absorber using supercapacitors for renewable energy applications in range extended electric vehicle

Zhang, Z., Zhang, X., Chen, W., Rasim, Y., Salman, W., Pan, H., Yuan, Y., & Wang, C. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.06.054 · Cited by 252 · see citing works

Electric vehicle routing problem: A systematic review and a new comprehensive model with nonlinear energy recharging and consumption

Xiao, Y., Zhang, Y., Kaku, I., Kang, R., & Pan, X. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111567 · Cited by 236 · see citing works

Impact of road gradient on energy consumption of electric vehicles

Liu, K., Yamamoto, T., & Morikawa, T. (2017) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2017.05.005 · Cited by 218 · see citing works

Electric vehicle routing problem with machine learning for energy prediction

Basso, R., Kulcsár, B., & Sánchez-Díaz, I. (2021) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2020.12.007 · Cited by 214 · see citing works

Prediction of Electric Vehicle Range: A Comprehensive Review of Current Issues and Challenges

Varga, B. O., Sagoian, A., & Mariasiu, F. E. (2019) · Energies · doi:10.3390/en12050946 · Cited by 206 · see citing works

A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability

Ullah, I., Liu, K., Yamamoto, T., Mamlook, R. E. A., & Jamal, A. (2021) · Energy & Environment · doi:10.1177/0958305x211044998 · Cited by 202 · see citing works

A study of charging-dispatch strategies and vehicle-to-grid technologies for electric vehicles in distribution networks

Mastoi, M. S., Zhuang, S., Munir, H. M., Haris, M., Hassan, M., Alqarni, M., & Alamri, B. R. (2023) · Energy Reports · doi:10.1016/j.egyr.2022.12.139 · Cited by 197 · see citing works

The electric vehicle energy management: An overview of the energy system and related modeling and simulation

Ibrahim, A., & Jiang, F. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111049 · Cited by 196 · see citing works

Planning for electric vehicle needs by coupling charging profiles with urban mobility

Xu, Y., Çolak, S., Kara, E. C., Moura, S. J., & González, M. C. (2018) · Nature Energy · doi:10.1038/s41560-018-0136-x · Cited by 188 · see citing works

A Review on the Selected Applications of Battery-Supercapacitor Hybrid Energy Storage Systems for Microgrids

Khalid, M. (2019) · Energies · doi:10.3390/en12234559 · Cited by 191 · see citing works

Microsimulation of electric vehicle energy consumption and driving range

Xie, Y., Li, Y.-Y., Zhao, Z., Dong, H., Wang, S.-Q., Liu, J.-P., Guan, J.-H., & Duan, X.-B. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115081 · Cited by 171 · see citing works

An energy-efficient green-vehicle routing problem with mixed vehicle fleet, partial battery recharging and time windows

Macrina, G., Gilbert Laporte, A., Guerriero, F., & Pugliese, L. D. P. (2019) · European Journal of Operational Research · doi:10.1016/j.ejor.2019.01.067 · Cited by 168 · see citing works

Effect of Ambient Temperature on Electric Vehicles’ Energy Consumption and Range: Model Definition and Sensitivity Analysis Based on Nissan Leaf Data

Iora, P., & Tribioli, L. (2019) · World Electric Vehicle Journal · doi:10.3390/wevj10010002 · Cited by 158 · see citing works

Method for evaluating the real-world driving energy consumptions of electric vehicles

Yuan, X., Zhang, C., Hong, G., Huang, X., & Li, L. (2017) · Energy · doi:10.1016/j.energy.2017.11.134 · Cited by 157 · see citing works

A computationally efficient simulation model for estimating energy consumption of electric vehicles in the context of route planning applications

Genikomsakis, K. N., & Mitrentsis, G. (2017) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2016.10.014 · Cited by 156 · see citing works

Trip energy consumption estimation for electric buses

Ji, J., Bie, Y., Zeng, Z., & Wang, L. (2022) · Communications in Transportation Research · doi:10.1016/j.commtr.2022.100069 · Cited by 145 · see citing works

Development of energy consumption optimization model for the electric vehicle routing problem with time windows

Xiao, Y., Zuo, X., Kaku, I., Zhou, S., & Pan, X. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.03.323 · Cited by 139 · see citing works

Energy-efficient control of electric vehicles based on linear quadratic regulator and phase plane analysis

Han, Z., Xu, N., Chen, H., Huang, Y., & Zhao, B. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.09.006 · Cited by 137 · see citing works

Trends in electric vehicles research

Haghani, M., Sprei, F., Kazemzadeh, K., Shahhoseini, Z., & Aghaei, J. (2023) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2023.103881 · Cited by 158 · see citing works

Microsimulation of electric vehicle energy consumption

Luin, B., Petelin, S., & Al-Mansour, F. (2019) · Energy · doi:10.1016/j.energy.2019.02.034 · Cited by 130 · see citing works

Trajectory optimization of an electric vehicle with minimum energy consumption using inverse dynamics model and servo constraints

Min, C., Pan, Y., Dai, W., Kawsar, I., Li, Z., & Wang, G. (2022) · Mechanism and Machine Theory · doi:10.1016/j.mechmachtheory.2022.105185 · Cited by 131 · see citing works

The effect of electrified mobility on the relationship between traffic conditions and energy consumption

Fiori, C., Arcidiacono, V., Fontaras, G., Makridis, M., Mattas, K., Marzano, V., Thiel, C., & Ciuffo, B. (2018) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2018.11.018 · Cited by 127 · see citing works

Energy consumption prediction strategy for electric vehicle based on LSTM-transformer framework

Feng, Z., Zhang, J., Jiang, H., Yao, X., Yu, Q., & Zhang, H. (2024) · Energy · doi:10.1016/j.energy.2024.131780 · Cited by 127 · see citing works

An open tool for creating battery-electric vehicle time series from empirical data, emobpy

Gaete-Morales, C., Kramer, H., Schill, W.-P., & Zerrahn, A. (2021) · Scientific Data · doi:10.1038/s41597-021-00932-9 · Cited by 125 · see citing works

Examining influential factors on the energy consumption of electric and diesel buses: A data-driven analysis of large-scale public transit network in Beijing

Ma, X., Miao, R., Wu, X., & Liu, X. (2020) · Energy · doi:10.1016/j.energy.2020.119196 · Cited by 123 · see citing works

Usage pattern analysis of Beijing private electric vehicles based on real-world data

Zhang, X., Zou, Y., Fan, J., & Guo, H. (2018) · Energy · doi:10.1016/j.energy.2018.11.005 · Cited by 122 · see citing works

Comprehensive optimization of fuzzy logic-based energy management system for fuel-cell hybrid electric vehicle using genetic algorithm

Mazouzi, A., Hadroug, N., Alayed, W. M., Hafaifa, A., Iratni, A., & Kouzou, A. (2024) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2024.07.237 · Cited by 122 · see citing works

EV charging load simulation and forecasting considering traffic jam and weather to support the integration of renewables and EVs

Yan, J., Zhang, J., Liu, Y., Lv, G., Han, S., & Alfonzo, I. E. G. (2020) · Renewable Energy · doi:10.1016/j.renene.2020.03.175 · Cited by 121 · see citing works

Electro-hydraulic damper for energy harvesting suspension: Modeling, prototyping and experimental validation

Zhang, Y., Chen, H., Guo, K., Zhang, X., & Li, S. E. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.04.085 · Cited by 120 · see citing works

Data-driven estimation of energy consumption for electric bus under real-world driving conditions

Chen, Y., Zhang, Y., & Sun, R. (2021) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2021.102969 · Cited by 119 · see citing works

Probabilistic forecasts of time and energy flexibility in battery electric vehicle charging

Huber, J., Dann, D., & Weinhardt, C. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.114525 · Cited by 118 · see citing works

Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging

Zhang, J., Tang, T., Yan, Y., & Qu, X. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.116215 · Cited by 116 · see citing works

A high-efficiency regenerative shock absorber considering twin ball screws transmissions for application in range-extended electric vehicles

Wang, Z., Zhang, T., Zhang, Z., Yuan, Y., & Liu, Y. (2019) · Energy and Built Environment · doi:10.1016/j.enbenv.2019.09.004 · Cited by 114 · see citing works

Machine Learning-Based Method for Remaining Range Prediction of Electric Vehicles

Liang, Z., Yao, W., Wang, Y., & Hu, J. (2020) · IEEE Access · doi:10.1109/access.2020.3039815 · Cited by 109 · see citing works

Energy impact evaluation for eco-routing and charging of autonomous electric vehicle fleet: Ambient temperature consideration

Yi, Z., Smart, J., & Shirk, M. G. (2018) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2018.02.018 · Cited by 108 · see citing works

Computationally efficient model for energy demand prediction of electric city bus in varying operating conditions

Vepsäläinen, J., Otto, K., Lajunen, A., & Tammi, K. (2018) · Energy · doi:10.1016/j.energy.2018.12.064 · Cited by 108 · see citing works

Eco-Driving Control Architecture for Platoons of Uncertain Heterogeneous Nonlinear Connected Autonomous Electric Vehicles

Coppola, A., Lui, D. G., Petrillo, A., & Santini, S. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3200284 · Cited by 103 · see citing works

Estimation of energy consumption of electric vehicles using Deep Convolutional Neural Network to reduce driver’s range anxiety

Modi, S., Bhattacharya, J., & Basak, P. (2019) · ISA Transactions · doi:10.1016/j.isatra.2019.08.055 · Cited by 101 · see citing works

Many-objective optimization of BEV design parameters based on gradient boosting decision tree models and the NSGA-III algorithm considering the ambient temperature

Sun, X., & Fu, J. (2023) · Energy · doi:10.1016/j.energy.2023.129840 · Cited by 99 · see citing works

Energy consumption evaluation of passenger electric vehicle based on ambient temperature under Real-World driving conditions

Lee, G., Song, J., Lim, Y., & Park, S. (2024) · Energy Conversion and Management · doi:10.1016/j.enconman.2024.118289 · Cited by 97 · see citing works

A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation

Zhang, X., Zhang, Z., Liu, Y., Xu, Z., & Qu, X. (2024) · Renewable Energy · doi:10.1016/j.renene.2024.121243 · Cited by 102 · see citing works

Fuel consumption model for conventional diesel buses

Wang, J., & Rakha, H. A. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.02.124 · Cited by 92 · see citing works

Modelling the multilevel structure and mixed effects of the factors influencing the energy consumption of electric vehicles

Liu, K., Wang, J., Yamamoto, T., & Morikawa, T. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.09.082 · Cited by 92 · see citing works

Battery-electric buses and their implementation barriers: Analysis and prospects for sustainability

Rodrigues, A. D. L. P., & Seixas, S. R. D. C. (2021) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2021.101896 · Cited by 92 · see citing works

Investigating policies on increasing the adoption of electric vehicles in Indonesia

Setiawan, A. D., Zahari, T. N., Purba, F. J., Moeis, A. O., & Hidayatno, A. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.135097 · Cited by 89 · see citing works

Modelling energy consumption of electric freight vehicles in urban pickup/delivery operations: analysis and estimation on a real-world dataset

Fiori, C., & Marzano, V. (2018) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2018.09.020 · Cited by 85 · see citing works

Energy oriented driving behavior analysis and personalized prediction of vehicle states with joint time series modeling

Xing, Y., Lv, C., Cao, D., & Lu, C. (2020) · Applied Energy · doi:10.1016/j.apenergy.2019.114471 · Cited by 83 · see citing works

A Time and Energy Efficient Routing Algorithm for Electric Vehicles Based on Historical Driving Data

Bozorgi, A. M., Farasat, M., & Mahmoud, A. (2017) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2017.2771233 · Cited by 82 · see citing works

Modelling and predicting energy consumption of a range extender fuel cell hybrid vehicle

Zeng, T., Zhang, C., Hu, M., Chen, Y., Yuan, C., Chen, J., & Zhou, A. (2018) · Energy · doi:10.1016/j.energy.2018.09.086 · Cited by 82 · see citing works

Assessment of battery utilization and energy consumption in the large-scale development of urban electric vehicles

Zhao, Y., Wang, Z., Shen, Z. M., & Sun, F. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2017318118 · Cited by 82 · see citing works

Development and validation of energy demand uncertainty model for electric city buses

Vepsäläinen, J., Kivekäs, K., Otto, K., Lajunen, A., & Tammi, K. (2018) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2018.06.004 · Cited by 80 · see citing works

From driving behavior to energy consumption: A novel method to predict the energy consumption of electric bus

Nan, S., Tu, R., Li, T., Sun, J. F., & Chen, H. (2022) · Energy · doi:10.1016/j.energy.2022.125188 · Cited by 81 · see citing works

Power-traffic network equilibrium incorporating behavioral theory: A potential game perspective

Zhou, Z., Moura, S. J., Zhang, H., Zhang, X., Guo, Q., & Sun, H. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.116703 · Cited by 79 · see citing works

Electric train energy consumption modeling

Wang, J., & Rakha, H. A. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.02.058 · Cited by 76 · see citing works

Carbon Footprint of autonomous vehicles at the urban mobility system level: A traffic simulation-based approach

Patella, S. M., Scrucca, F., Asdrubali, F., & Carrese, S. (2019) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2019.08.007 · Cited by 76 · see citing works

A comparative investigation on the energy flow of pure battery electric vehicle under different driving conditions

Feng, R., Hua, Z., Yu, J., Zhao, Z., Dan, Y., Zhai, H., & Shu, X. (2025) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2025.126035 · Cited by 74 · see citing works

A Self-learning intelligent passenger vehicle comfort cooling system control strategy

Xie, Y., Liu, Z., Liu, J., Li, K., Zhang, Y., Wu, C., Wang, P., & Wang, X. (2019) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2019.114646 · Cited by 73 · see citing works

A Review and Outlook on Energy Consumption Estimation Models for Electric Vehicles

Chen, Y., Wu, G., Sun, R., Dubey, A. K., Lászka, Á., & Pugliese, P. (2021) · SAE International journal of sustainable transportation, energy, environment & policy · doi:10.4271/13-02-01-0005 · Cited by 70 · see citing works

Energy-Efficient Adaptive Cruise Control for Electric Connected and Autonomous Vehicles

Lu, C., Dong, J., & Hu, L. (2019) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2019.2919556 · Cited by 68 · see citing works

A high-efficiency energy regenerative shock absorber for powering auxiliary devices of new energy driverless buses

Hai, L., Zheng, P., Zhang, T., Zou, Y., Pan, Y., Zhang, Z., & Azam, A. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.117020 · Cited by 65 · see citing works

Optimal Charging and Routing of Electric Vehicles With Power Constraints and Time-of-Use Energy Prices

Ferro, G., Paolucci, M., & Robba, M. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.3038049 · Cited by 65 · see citing works

Microscopic energy consumption modelling of electric buses: model development, calibration, and validation

Fiori, C., Montanino, M., Nielsen, S., Seredynski, M., & Viti, F. (2021) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2021.102978 · Cited by 64 · see citing works

Prediction of energy consumption for new electric vehicle models by machine learning

Fukushima, A., Yano, T., Imahara, S., Aisu, H., Shimokawa, Y., & Shibata, Y. (2018) · IET Intelligent Transport Systems · doi:10.1049/iet-its.2018.5169 · Cited by 63 · see citing works

Path and Speed Optimization for Conflict-Free Pickup and Delivery Under Time Windows

Adamo, T., Bektaş, T., Ghiani, G., Guerriero, E., & Manni, E. (2018) · Transportation Science · doi:10.1287/trsc.2017.0816 · Cited by 63 · see citing works

Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario

Yi, Z., & Shirk, M. G. (2017) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2017.10.014 · Cited by 62 · see citing works

Development of an energy consumption prediction model for battery electric vehicles in real-world driving: A combined approach of short-trip segment division and deep learning

Pan, Y., Fang, W., & Zhang, W. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.136742 · Cited by 62 · see citing works

A comparative assessment of CO2 emission between gasoline, electric, and hybrid vehicles: A Well-To-Wheel perspective using agent-based modeling

Rahman, M. M., Zhou, Y., Rogers, J., Chen, V., Sattler, M., & Hyun, K. K. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.128931 · Cited by 61 · see citing works

Trip-level energy consumption prediction model for electric bus combining Markov-based speed profile generation and Gaussian processing regression

Jiang, J., Yu, Y., Min, H., Cao, Q., Sun, W., Zhang, Z., & Luo, C. (2022) · Energy · doi:10.1016/j.energy.2022.125866 · Cited by 60 · see citing works

Predictive modeling of energy consumption and greenhouse gas emissions from autonomous electric vehicle operations

Zhang, C., Yang, F., Ke, X., Liu, Z., & Yuan, C. Y. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.113597 · Cited by 60 · see citing works

Vehicle energy efficiency evaluation from well-to-wheel lifecycle perspective

Kosai, S., Nakanishi, M., & Yamasue, E. (2018) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2018.09.011 · Cited by 59 · see citing works

Coordinated Scheduling for Improving Uncertain Wind Power Adsorption in Electric Vehicles—Wind Integrated Power Systems by Multiobjective Optimization Approach

Li, Y., Ni, Z., Zhao, T., Yu, M., Liu, Y., Wu, L., & Zhao, Y. L. (2020) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2020.2976909 · Cited by 58 · see citing works

A novel multistage constant compressor speed control strategy of electric vehicle air conditioning system based on genetic algorithm

Huang, X., Li, K., Xie, Y., Liu, B., Liu, J., Liu, Z., & Mou, L. (2021) · Energy · doi:10.1016/j.energy.2021.122903 · Cited by 58 · see citing works

An improved single-particle model with electrolyte dynamics for high current applications of lithium-ion cells

Mehta, R., & Gupta, A. K. (2021) · Electrochimica Acta · doi:10.1016/j.electacta.2021.138623 · Cited by 57 · see citing works

A real-time vehicle-specific eco-routing model for on-board navigation applications capturing transient vehicle behavior

Wang, J., Elbery, A. A., & Rakha, H. A. (2019) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2019.04.017 · Cited by 57 · see citing works

Design and Performance Analysis of Hybrid Battery and Ultracapacitor Energy Storage System for Electrical Vehicle Active Power Management

Kachhwaha, A., Rashed, G. I., Garg, A. R., Mahela, O. P., Khan, B., Shafik, M. B., & Hussien, M. G. (2022) · Sustainability · doi:10.3390/su14020776 · Cited by 55 · see citing works

Predicting Electric Vehicle Energy Consumption From Field Data Using Machine Learning

Zhu, Q., Huang, Y., Lee, C. F., Liu, P., Zhang, J., & Wik, T. (2024) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2024.3416532 · Cited by 55 · see citing works

Reducing fuel consumption and related emissions through optimal sizing of energy storage systems for diesel-electric trains

Kapetanović, M., Núñez, A. A., van Oort, N., & Goverde, R. M. P. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.117018 · Cited by 53 · see citing works

Energy Consumption Prediction and Analysis for Electric Vehicles: A Hybrid Approach

Mediouni, H., Ezzouhri, A., Charouh, Z., Harouri, K. E., Hani, S. E., & Ghogho, M. (2022) · Energies · doi:10.3390/en15176490 · Cited by 53 · see citing works

Development of dynamic battery thermal model integrated with driving cycles for EV applications

Han, U., Kang, H.-S., Song, J., Oh, J., & Lee, H. (2021) · Energy Conversion and Management · doi:10.1016/j.enconman.2021.114882 · Cited by 52 · see citing works

Evaluating the systemic effects of automated mobility-on-demand services via large-scale agent-based simulation of auto-dependent prototype cities

Oke, J. B., Prakash, A., Chen, S., Xie, Y., Aboutaleb, Y. M., Azevedo, C. L., Zegras, P. C., Ferreira, J., & Ben-Akiva, M. E. (2020) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2020.06.013 · Cited by 51 · see citing works

Adaptive Multiresolution Energy Consumption Prediction for Electric Vehicles

Yi, Z., & Bauer, P. H. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2720587 · Cited by 50 · see citing works

A two-layered eco-cooling control strategy for electric car air conditioning systems with integration of dynamic programming and fuzzy PID

Xie, Y., Yang, P., Qian, Y., Zhang, Y., Li, K., & Zhou, Y. (2022) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2022.118488 · Cited by 50 · see citing works

An Integrated Simulation Environment to test the effectiveness of GLOSA services under different working conditions

Coppola, A., Costanzo, L. D., Pariota, L., Santini, S., & Bifulco, G. N. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2021.103455 · Cited by 49 · see citing works

An energy-efficient battery thermal management system incorporating a porous metal-based multiscale flow manifold

Ki, S., Lee, J., Kim, S., Seong, J., Shim, J., Oh, S., Cho, S., Bang, S., Seo, D., Kim, J., et al. (2022) · Energy Conversion and Management · doi:10.1016/j.enconman.2022.116147 · Cited by 49 · see citing works

Strategies for the Modelisation of Electric Vehicle Energy Consumption: A Review

Martino, A. D., Miraftabzadeh, S. M., & Longo, M. (2022) · Energies · doi:10.3390/en15218115 · Cited by 48 · see citing works

Assessing additional fuel consumption from cabin thermal comfort and auxiliary needs on the worldwide harmonized light vehicles test cycle

Mansour, C., Nader, W. B., Brèque, F., Haddad, M., & Nemer, M. (2018) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2018.02.012 · Cited by 48 · see citing works

Investigating Real-World Energy Consumption of Electric Vehicles: A Case Study of Shanghai

Zhang, Q., Yang, J., Jia, R., & Wang, F. (2018) · Procedia Computer Science · doi:10.1016/j.procs.2018.04.176 · Cited by 48 · see citing works

On the Comparison of 2- and 4-Wheel-Drive Electric Vehicle Layouts with Central Motors and Single- and 2-Speed Transmission Systems

Pinto, S. D., Camocardi, P., Chatzikomis, C., Sorniotti, A., Bottiglione, F., Mantriota, G., & Perlo, P. (2020) · Energies · doi:10.3390/en13133328 · Cited by 48 · see citing works

Review of the Estimation Methods of Energy Consumption for Battery Electric Buses

Al-Ogaili, A. S., Al-Shetwi, A. Q., Al‐Masri, H. M. K., Babu, T. S., Hoon, Y., Alzaareer, K., & Babu, N. V. P. (2021) · Energies · doi:10.3390/en14227578 · Cited by 48 · see citing works

Modelling the Effect of Driving Events on Electrical Vehicle Energy Consumption Using Inertial Sensors in Smartphones

Jiménez, D., Hernández, S., Fraile-Ardanuy, J., Serrano, J., Fernández, R., & Álvarez, F. (2018) · Energies · doi:10.3390/en11020412 · Cited by 46 · see citing works

Theory and design of small induction motors

(1960) · Journal of the Franklin Institute · doi:10.1016/0016-0032(60)90066-1 · Cited by 201 · see citing works

Virginia Tech Comprehensive Power-based Electric Vehicle Energy Consumption Model: Model Development and Validation

Fiori, C., Ahn, K., & Rakha, H. A. (2016) · Transportation Research Board 95th Annual MeetingTransportation Research Board

Electric vehicle energy consumption modelling and estimation—A case study

Miri, I., Fotouhi, A., & Ewin, N. (2020) · International Journal of Energy Research · doi:10.1002/er.5700 · Cited by 356 · see citing works

A computationally efficient simulation model for estimating energy consumption of electric vehicles in the context of route planning applications

Genikomsakis, K. N., & Mitrentsis, G. (2017) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2016.10.014 · Cited by 156 · see citing works

Mesoscopic model framework for estimating electric vehicles’ energy consumption

Zhang, R., & Yao, E. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2019.101478 · Cited by 34 · see citing works