The DOI matches its Crossref record; 50 of the 51 references it cites were found in a registry or an index.
Power-based electric vehicle energy consumption model: Model development and validation
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“It can be observed that in all the analyzed cases, the results obtained with the assumptions proposed in the work of [1,37] (case (c) and case (d), respectively) are very close to the assumption of case (b) (η rb = 1).”
From Effect of Ambient Temperature on Electric Vehicles’ Energy Consumption and Range: Model Definition and Sensitivity Analysis Based on Nissan Leaf Data (2019) · cites this paper as [1]
Citations
Cites
Wipke, K. B., Cuddy, M., & Burch, S. D. (1999) · IEEE Transactions on Vehicular Technology · doi:10.1109/25.806767 · Cited by 713
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
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
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
Self-citationModeling and Simulation of Electric and Hybrid Vehicles
Mi, C. C., & Masrur, M. A. (2017) · doi:10.1002/9781118970553.ch14 · Cited by 320
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
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
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
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 253
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
Flagged first, then by citations
1 of the 51 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- U.S. Energy Information Administration (EIA). Annual energy review energy perspectives; 2012.
Cited by
Sorted by citations
Items 101–200 of 636
Năstase, I., Dancă, P., Bode, F. I., Croitoru, C. V., Tutunaru, L. F., Sandu, M., & Coşoiu, C. I. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.08.186 · Cited by 46
Yang, D., Liu, H., Li, M., & Xu, H. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.108590 · Cited by 46
Modeling and Engineering Constrained Shortest Path Algorithms for Battery Electric Vehicles
Baum, M., Dibbelt, J., Wagner, D., & Zündorf, T. (2020) · Transportation Science · doi:10.1287/trsc.2020.0981 · Cited by 45
Integrated control of electric vehicles based on active front steering and model predictive control
Jing, C., Shu, H., Shu, R., & Song, Y. (2022) · Control Engineering Practice · doi:10.1016/j.conengprac.2022.105066 · Cited by 46
Analysing the real-world fuel and energy consumption of conventional and electric cars in Europe
Komnos, D., Tsiakmakis, S., Pavlovic, J., Ntziachristos, L. D., & Fontaras, G. (2022) · Energy Conversion and Management · doi:10.1016/j.enconman.2022.116161 · Cited by 46
Characterization of Battery Electric Transit Bus Energy Consumption by Temporal and Speed Variation
Perugu, H., Collier, S., Tan, Y., Yoon, S., & Herner, J. (2023) · Energy · doi:10.1016/j.energy.2022.125914 · Cited by 48
Hu, Q., Amini, M. R., Wiese, A. P., Semel, R. R., Seeds, J. B., Kolmanovsky, I. V., & Sun, J. (2023) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2023.3291561 · Cited by 44
Sayed, K., Kassem, A. M., Saleeb, H. M. I., Alghamdi, A. S., & Abo-Khalil, A. G. (2020) · Sustainability · doi:10.3390/su122410466 · Cited by 44
Estimation of tank-to-wheel efficiency functions based on type approval data
Hjelkrem, O. A., Arnesen, P., Bø, T. A., & Sondell, R. S. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115463 · Cited by 43
Kim, S., Lee, U., Lee, I., & Kang, N. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.130055 · Cited by 42
Fine-Grained RNN With Transfer Learning for Energy Consumption Estimation on EVs
Hua, Y., Sevegnani, M., Yi, D., Birnie, A., & McAslan, S. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3143155 · Cited by 41
Gurusamy, A., Ashok, B., & Mason, B. (2023) · IEEE Access · doi:10.1109/access.2023.3334620 · Cited by 47
Zhang, L., Ji, Y., Li, X., Huang, Z., Cui, D., Chen, H., Gong, J., Breer, F., Junker, M. D., & Sauer, D. U. (2025) · Green Energy and Intelligent Transportation · doi:10.1016/j.geits.2025.100283 · Cited by 41
UK battery electric bus operation: Examining battery degradation, carbon emissions and cost
McGrath, T., Blades, L. A. W., Early, J. M., & Harris, A. (2022) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2022.103373 · Cited by 41
How much energy does a car need on the road?
Küng, L., Butler, T. J., Georges, G., & Boulouchos, K. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.113948 · Cited by 41
Analysis of factors affecting the energy consumption of an EV vehicle - a literature study
Skuza, A., & Jurecki, R. (2022) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/1247/1/012001 · Cited by 40
Ramsey, D., Bouscayrol, A., Boulon, L., Desreveaux, A., & Vaudrey, A. (2022) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2022.3144526 · Cited by 39
Wang, B., Ma, G., Xu, D., Zhang, L., & Zhou, J. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.06.141 · Cited by 39
Wang, H., Zhao, D., Cai, Y., Meng, Q., & Ong, G. P. (2019) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2019.07.021 · Cited by 39
Electric vehicles and power quality in low voltage networks: Real data analysis and modeling
Torres, S., Tovar, I. C. D., Guerra, A. R. M., Pavas, A., & Quirós‐Tortós, J. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.117718 · Cited by 39
Li, W., Ding, H., Xu, N., & Zhang, J. (2023) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2023.3331727 · Cited by 38
Reducing the Energy Consumption of Electric Buses With Design Choices and Predictive Driving
Kivekäs, K., Lajunen, A., Baldi, F., Vepsäläinen, J., & Tammi, K. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2936772 · Cited by 38
Fiori, C., Ahn, K., & Rakha, H. A. (2018) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2018.04.022 · Cited by 37
Self-citationParallel memetic algorithm for training recurrent neural networks for the energy efficiency problem
Ruiz, L. G. B., Capel, M. I., & Pegalajar, M. C. (2018) · Applied Soft Computing · doi:10.1016/j.asoc.2018.12.028 · Cited by 37
Koch, L., Buse, D. S., Wegener, M., Schoenberg, S., Badalian, K., Dressler, F., & Andert, J. (2021) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc48978.2021.9564463 · Cited by 37
Automatic vehicle trajectory data reconstruction at scale
Wang, Y., Gloudemans, D., Ji, J., Teoh, Z. N., Liu, L., Zachár, G., Barbour, W., & Work, D. B. (2024) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2024.104520 · Cited by 36
Optimum routing of battery electric vehicles: Insights using empirical data and microsimulation
Fiori, C., Ahn, K., & Rakha, H. A. (2017) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2017.08.007 · Cited by 36
Self-citationNonlinear Model Predictive Control for Ecological Driver Assistance Systems in Electric Vehicles
Sajadi-Alamdari, S. A., Voos, H., & Darouach, M. (2018) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2018.12.001 · Cited by 38
Privacy-Preserving Electric Vehicle Charging for Peer-to-Peer Energy Trading Ecosystems
Radi, E. M., Lasla, N., Bakiras, S., & Mahmoud, M. M. E. A. (2019) · International Conference on Communications · doi:10.1109/icc.2019.8761788 · Cited by 37
Modelling the energy consumption of electric vehicles under uncertain and small data conditions
Liu, Y., Zhang, Q., Lyu, C., & Liu, Z. (2021) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2021.10.009 · Cited by 36
Ahn, K., & Rakha, H. A. (2022) · Energies · doi:10.3390/en15020529 · Cited by 36
Self-citationBattery electricity bus charging schedule considering bus journey’s energy consumption estimation
He, J., Yan, N., Zhang, J., Wang, T., Chen, Y., & Tang, T. (2022) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2022.103587 · Cited by 36
Mathematical Modeling of Driving Forces of an Electric Vehicle for Sustainable Operation
Agrawal, A., Singh, R., Kumar, N., Singh, V., Alotaibi, M. A., Malik, H., Márquez, F. G., & Hossaini, M. A. (2023) · IEEE Access · doi:10.1109/access.2023.3309728 · Cited by 36
Prediction of Electric Buses Energy Consumption from Trip Parameters Using Deep Learning
Pamuła, T., & Pamuła, D. (2022) · Energies · doi:10.3390/en15051747 · Cited by 40
Transfer learning based hybrid model for power demand prediction of large-scale electric vehicles
Tian, C., Liu, Y., Zhang, G., Yang, Y., Yan, Y., & Li, C. (2024) · Energy · doi:10.1016/j.energy.2024.131461 · Cited by 34
Mansour, C., Haddad, M., & Zgheib, E. (2018) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2018.06.012 · Cited by 34
Li, Y., Duan, X., Fu, J., Liu, J., Wang, S., Dong, H., & Xie, Y. (2019) · Energy · doi:10.1016/j.energy.2019.116218 · Cited by 34
Energy Consumption Modeling in Presence of Uncertainty
Fiori, C., Marzano, V., Punzo, V., & Montanino, M. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.2991270 · Cited by 34
Self-citationYan, S., Fang, H., Li, J., Ward, T. E., O'Connor, N. E., & Liu, M. (2023) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2023.3343106 · Cited by 33
He, B., Yang, B. F., Han, Y., Zhou, Y., Hu, Y., Shu, H., Shi, S., Yang, J., Huang, Y., Li, J., et al. (2024) · Energy · doi:10.1016/j.energy.2024.133885 · Cited by 39
Improving Electricity Consumption Estimation for Electric Vehicles Based on Sparse GPS Observations
Wang, J., Liu, K., & Yamamoto, T. (2017) · Energies · doi:10.3390/en10010129 · Cited by 33
Real time operation of high-capacity electric vehicle ridesharing fleets
Zalesak, M., & Samaranayake, S. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2021.103413 · Cited by 32
Ma, T.-Y., & Fang, Y. (2022) · European Transport Research Review · doi:10.1186/s12544-022-00560-3 · Cited by 37
Ji, J., Wang, L., Yang, M., Bie, Y., & Hao, M. (2023) · Energy · doi:10.1016/j.energy.2023.129873 · Cited by 33
Sustainable waste collection optimization using electric vehicles
Peña, D., Dorronsoro, B., & Ruiz, P. (2024) · Sustainable Cities and Society · doi:10.1016/j.scs.2024.105343 · Cited by 34
Liu, C., Wang, J., Cai, W., & Zhang, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2933531 · Cited by 32
Ekici, Y. E., Akdağ, O., Aydın, A. A., & Karadağ, T. (2023) · IEEE Access · doi:10.1109/access.2023.3316362 · Cited by 32
Sun, X., Zhou, F., Fu, J., & Liu, J. (2024) · Energy · doi:10.1016/j.energy.2024.130542 · Cited by 31
Lombardi, S., Tribioli, L., Guandalini, G., & Iora, P. G. (2020) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2020.02.181 · Cited by 29
Modi, S., Bhattacharya, J., & Basak, P. (2020) · Soft Computing · doi:10.1007/s00500-020-05310-y · Cited by 31
Improving Electric Vehicle Range and Thermal Comfort through an Innovative Seat Heating System
Bode, F. I., Burnete, N. V., Tutunaru, L. F., & Năstase, I. (2023) · Sustainability · doi:10.3390/su15065534 · Cited by 33
Feng, R., Yu, J., Zhao, Z., Hua, Z., He, J., & Shu, X. (2024) · Energy Conversion and Management · doi:10.1016/j.enconman.2024.119084 · Cited by 32
Lee, U., Kang, N., & Lee, I. (2019) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-019-02434-0 · Cited by 30
Caiazzo, B., Coppola, A., Petrillo, A., & Santini, S. (2021) · Energies · doi:10.3390/en14165122 · Cited by 30
High fidelity estimates of paratransit energy consumption from per-second GPS tracking data
Hull, C., Giliomee, J. H., Collett, K. A., McCulloch, M. D., & Booysen, M. J. (2023) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2023.103695 · Cited by 30
Reddy, K. S., Aravindhan, S., & Mallick, T. K. (2017) · Energies · doi:10.3390/en10060754 · Cited by 30
Framework for planning of EV charging infrastructure: Where should cities start?
Torkey, A., & Abdelgawad, H. (2022) · Transport Policy · doi:10.1016/j.tranpol.2022.09.015 · Cited by 31
Analysis of energy consumption for electric buses based on low-frequency real-world data
Xu, Z., Wang, J., Lund, P. D., & Zhang, Y. (2023) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2023.103857 · Cited by 29
Energy-Optimal Routes for Battery Electric Vehicles
Baum, M., Dibbelt, J., Pajor, T., Sauer, J., Wagner, D., & Zündorf, T. (2019) · Algorithmica · doi:10.1007/s00453-019-00655-9 · Cited by 29
Wang, N., Guo, J., Liu, X., & Liang, Y. (2020) · Transportation Letters · doi:10.1080/19427867.2020.1728843 · Cited by 29
Philip, N., & Ghosh, P. C. (2022) · Energy Conversion and Management · doi:10.1016/j.enconman.2022.116172 · Cited by 29
Modeling energy consumption for battery electric vehicles based on in-use vehicle trajectories
Zhai, Z., Zhang, L., Song, G., Li, X., & Yu, L. (2024) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2024.104509 · Cited by 29
Sarrafan, K., Muttaqi, K. M., Sutanto, D., & Town, G. E. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2829728 · Cited by 28
Hong, J., Wang, Z., Zhang, T., Yin, H., Zhang, H., Huo, W., Zhang, Y., & Li, Y. (2019) · Energy · doi:10.1016/j.energy.2019.116220 · Cited by 28
Real Driving Cycle-Based State of Charge Prediction for EV Batteries Using Deep Learning Methods
Hong, S., Hwang, H., Kim, D., Cui, S., & Joe, I. (2021) · Applied Sciences · doi:10.3390/app112311285 · Cited by 28
Guo, F., Chen, Z., Xiao, F., Li, A., & Jian, S. (2022) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2022.119931 · Cited by 28
Li, W., Cheng, R., Huang, H., Garg, A., & Gao, L. (2025) · Energy · doi:10.1016/j.energy.2025.136229 · Cited by 27
Electric Vehicle Range Estimation Using Regression Techniques
Ahmed, M., Mao, Z., Zheng, Y., Chen, T., & Chen, Z. (2022) · World Electric Vehicle Journal · doi:10.3390/wevj13060105 · Cited by 27
Gao, K., Xu, X., & Jiao, S. (2022) · Energy · doi:10.1016/j.energy.2022.125227 · Cited by 27
Zhao, Y., Wang, Z., Shen, Z. M., Zhang, L., Dorrell, D. G., & Sun, F. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.120083 · Cited by 28
Ji, J., Bie, Y., Hong, S., & Wang, L. (2024) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2024.141721 · Cited by 27
You, G. (2022) · Sustainable Cities and Society · doi:10.1016/j.scs.2022.103682 · Cited by 26
Suganya, S., Raja, S. C., Srinivasan, D., & Venkatesh, P. (2017) · International Journal of Energy Research · doi:10.1002/er.3921 · Cited by 26
Chen, H., & Rakha, H. A. (2020) · Energies · doi:10.3390/en13102433 · Cited by 25
Self-citationMiraftabzadeh, S. M., Longo, M., & Foiadelli, F. (2021) · Energies · doi:10.3390/en14040854 · Cited by 26
Performance analysis of an integrated battery electric vehicle thermal management
Kulkarni, V., Ghaisas, G., & Krishnan, S. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.105334 · Cited by 25
Sordi, G., Rondi, A., Conti, D. J., Casalegno, A., & Rabissi, C. (2024) · Future Batteries · doi:10.1016/j.fub.2024.100005 · Cited by 24
Electric vehicle range prediction considering real-time driving factors and battery capacity index
Ma, X., Li, J.-A., Cui, H.-J., Cheng, L., Ji, Y., & Wang, J. (2025) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2025.104795 · Cited by 27
Khanra, M., & Nandi, A. K. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106361 · Cited by 24
Multi-objective Eco-Routing Model Development and Evaluation for Battery Electric Vehicles
Ahn, K., Bichiou, Y., Farag, M., & Rakha, H. A. (2021) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981211031529 · Cited by 24
Self-citationJi, Y., Dong, J., Jiang, H., Guang, W., & Fei, X. (2022) · Transportation Letters · doi:10.1080/19427867.2022.2091669 · Cited by 24
Disruption management for the electric vehicle routing problem in a geographically flexible network
Asghari, M., Al-e-Hashem, S. M. J. M., & Afshari, H. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.119172 · Cited by 24
Eco-Friendly Route Planning Algorithms: Taxonomies, Literature Review and Future Directions
Fahmin, A., Cheema, M. A., Ali, M. E., Toosi, A. N., Lu, H. C., Li, H., Taniar, D., Rakha, H. A., & Shen, B. (2024) · ACM Computing Surveys · doi:10.1145/3691624 · Cited by 25
Self-citationPang, B., Zhu, H., Tong, Y., & Dong, Z. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113963 · Cited by 23
Rozas, H., Muñoz‐Carpintero, D., Sáez, D. A., & Orchard, M. E. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115489 · Cited by 22
Research into the Regenerative Braking of an Electric Car in Urban Driving
Berjoza, D., Pīrs, V., & Jurgena, I. (2022) · World Electric Vehicle Journal · doi:10.3390/wevj13110202 · Cited by 22
Song, H., Zhao, F., Zhu, G., & Liu, Z. (2023) · Journal of Advanced Transportation · doi:10.1155/2023/6348778 · Cited by 22
A Multi-scale Control Framework for Urban traffic Control with Connected and Automated Vehicles
Guo, Q., & Ban, X. J. (2022) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2023.102787 · Cited by 23
Evaluation of the Energy Consumption Model Performance for Electric Vehicles in SUMO
Sagaama, I., Kchiche, A., Trojet, W., & Kamoun, F. (2019) · International Symposium on Distributed Simulation and Real Time Applications (DS-RT) · doi:10.1109/ds-rt47707.2019.8958704 · Cited by 21
Route planning for electric vehicles
Abbes, S. B., Rejeb, L., & Baati, L. (2022) · IET Intelligent Transport Systems · doi:10.1049/itr2.12182 · Cited by 21
Sun, S., Batista, S., Menéndez, M., Wang, Y., & Zhang, S. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.105086 · Cited by 22
Assessing electric mobility feasibility based on naturalistic driving data
Faria, M. V., Duarte, G., & Baptista, P. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.09.217 · Cited by 21
Yin, Z., Ma, X., Zhang, C., Su, R., & Wang, Q. (2023) · Sustainability · doi:10.3390/su152416850 · Cited by 20
Lee, T., Yoon, G., Kang, B., Choi, M.-I., Park, S., Park, J., & Park, S. (2024) · Buildings · doi:10.3390/buildings14082546 · Cited by 20
Cheng, R., Zhang, W., Yang, J., Sun, W., & Li, L. (2025) · World Electric Vehicle Journal · doi:10.3390/wevj16030124 · Cited by 20
A home energy management algorithm in demand response events for household peak load reduction
Ahmed, M. S. (2017) · PRZEGLĄD ELEKTROTECHNICZNY · doi:10.15199/48.2017.03.46 · Cited by 20
Computational performance analysis of overheating mitigation measures in parked vehicles
Soulios, V., Loonen, R., Metavitsiadis, V., & Hensen, J. J. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.09.149 · Cited by 20
A unified approach to the analysis of electric energy and fuel consumption of cars in city traffic
Kropiwnicki, J. (2019) · Energy · doi:10.1016/j.energy.2019.06.114 · Cited by 20
Tamborrino, A., Perone, C., Catalano, F., Squeo, G., Caponio, F., & Bianchi, B. (2019) · Energies · doi:10.3390/en12132592 · Cited by 20
Dynamic model development for vehicle air conditioners based on physics-guided deep learning
Chen, Z., Xiao, F., Jian, S., & Li, A. (2021) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2021.11.021 · Cited by 19
Metadata
- Authors
- Fiori, C., Ahn, K., & Rakha, H. A.
- Affiliations
- Virginia Tech Transportation Institute (US)
- Virginia Tech (US)
- Corresponding author
- Rakha, Hesham A.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2016-04
- Volume
- 168
- Pages
- 257-268
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2260322208
- Cited by
- 641
- References
- 51
- Citations by year
- 2026: 94 · 2025: 81 · 2024: 85 · 2023: 61 · 2022: 75 · 2021: 60 · 2020: 53 · 2019: 65 · 2018: 37 · 2017: 20 · 2016: 9
- FWCI
- 34.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Northwestern University Transportation Center
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Automotive Engineering › Vehicle emissions and performance
- Keywords
- electric vehicle energy consumption, regenerative braking, eco-driving, eco-routing, driving range, vehicle speed and acceleration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review