Online optimization of energy management strategy for FCV control parameters considering dual power source lifespan decay synergy

Main factors affecting the lifetime of Proton Exchange Membrane fuel cells in vehicle applications: A review

Pei, P., & Chen, H. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.03.048 · Cited by 619

A quick evaluating method for automotive fuel cell lifetime

PEI, P., Chang, Q., & TANG, T. (2008) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2008.04.048 · Cited by 518

Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control

Hu, X., Zou, C., Tang, X., Liu, T., & Hu, L. (2019) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2019.2915675 · Cited by 424

A comprehensive review on hybrid power system for PEMFC-HEV: Issues and strategies

Lü, X., Qu, Y., Wang, Y., Qin, C., & Liu, G. (2018) · Energy Conversion and Management · doi:10.1016/j.enconman.2018.06.065 · Cited by 417

An Energy Management Strategy to concurrently optimise fuel consumption & PEM fuel cell lifetime in a hybrid vehicle

Fletcher, T., Thring, R. H., & Watkinson, M. (2016) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2016.08.157 · Cited by 361

Multi-objective energy management optimization and parameter sizing for proton exchange membrane hybrid fuel cell vehicles

Hu, Z., Li, J., Xu, L., Song, Z., Fang, C., Ouyang, M., Dou, G. W., & Kou, G. (2016) · Energy Conversion and Management · doi:10.1016/j.enconman.2016.09.082 · Cited by 288

Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine

Wang, Y., Sun, Z., & Chen, Z. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.113707 · Cited by 277

Online adaptive equivalent consumption minimization strategy for fuel cell hybrid electric vehicle considering power sources degradation

Li, H., Ravey, A., N’Diaye, A., & Djerdir, A. (2019) · Energy Conversion and Management · doi:10.1016/j.enconman.2019.03.090 · Cited by 264

Capacity and power fade cycle-life model for plug-in hybrid electric vehicle lithium-ion battery cells containing blended spinel and layered-oxide positive electrodes

Cordoba-Arenas, A., Onori, S., GUEZENNEC, Y. G., & Rizzoni, G. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.12.047 · Cited by 254

Prognostics and Health Management of PEMFC – State of the art and remaining challenges

Jouin, M., Gouriveau, R., Hissel, D., Péra, M., & Noureddine Zerhouni, A. (2013) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2013.09.051 · Cited by 227

Pontryagin’s minimum principle-based real-time energy management strategy for fuel cell hybrid electric vehicle considering both fuel economy and power source durability

Song, K., Wang, X., Li, F., Sorrentino, M., & Zheng, B. (2020) · Energy · doi:10.1016/j.energy.2020.118064 · Cited by 221

Longevity-conscious energy management strategy of fuel cell hybrid electric Vehicle Based on deep reinforcement learning

Tang, X., Zhou, H., Feng, W., et al. (2021) · Energy · doi:10.1016/j.energy.2021.121593 · Cited by 202

Power management system for a fuel cell/battery hybrid vehicle incorporating fuel cell and battery degradation

Wang, Y., Moura, S. J., Advani, S. G., & Prasad, A. K. (2019) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2019.02.003 · Cited by 199

A State Machine Control Based on Equivalent Consumption Minimization for Fuel Cell/ Supercapacitor Hybrid Tramway

Li, Q., Su, B., Pu, Y., et al. (2019) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2019.2915689 · Cited by 161

A novel energy management strategy for hybrid electric bus with fuel cell health and battery thermal- and health-constrained awareness

Jia, C., Zhou, J., He, H., Li, J., Wei, Z., Li, K., & Shi, M. (2023) · Energy · doi:10.1016/j.energy.2023.127105 · Cited by 155

A hierarchical energy management strategy for fuel cell/battery/supercapacitor hybrid electric vehicles

Fu, Z., Li, Z., Si, P., & Tao, F. (2019) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2019.06.158 · Cited by 150

An energy management strategy based on dynamic power factor for fuel cell/battery hybrid locomotive

Hong, Z., Li, Q., Han, Y., et al. (2018) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2017.12.117 · Cited by 143

Suitability of energy sources for automotive application – A review

Yu, X. Y., Sandhu, N. S., Yang, Z., & Zheng, M. G. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115169 · Cited by 135

Convex programming energy management and components sizing of a plug-in fuel cell urban logistics vehicle

Wu, X., Hu, X., Yin, X., et al. (2019) · Journal of Power Sources · doi:10.1016/j.jpowsour.2019.03.044 · Cited by 122

Degradation adaptive energy management strategy using fuel cell state-of-health for fuel economy improvement of hybrid electric vehicle

Song, K., Ding, Y., Hu, X., et al. (2021) · Applied Energy · doi:10.1016/j.apenergy.2020.116413 · Cited by 115

Real-Time Energy Management Strategy for Fuel Cell Range Extender Vehicles Based on Nonlinear Control

Zhang, Y., Zhang, C., Huang, Z., et al. (2019) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2019.2958038 · Cited by 92

Prolonging fuel cell stack lifetime based on Pontryagin's Minimum Principle in fuel cell hybrid vehicles and its economic influence evaluation

Zheng, C., Xu, G., Park, Y. I., et al. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.09.110 · Cited by 86

An adaptive PMP-based model predictive energy management strategy for fuel cell hybrid railway vehicles

Deng, K., Peng, H., Dirkes, S., Gottschalk, J., Ünlübayir, C., Thul, A., Löwenstein, L., Pischinger, S., & Hameyer, K. (2020) · eTransportation · doi:10.1016/j.etran.2020.100094 · Cited by 86

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

Intelligent Outage Probability Prediction for Mobile IoT Networks Based on an IGWO-Elman Neural Network

Xu, L., Yu, X., & Gulliver, T. A. (2021) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2021.3051966 · Cited by 70

2014 22nd Signal Processing and Communications Applications Conference (SIU)

(2014) · doi:10.1109/siu33361.2014 · Cited by 60

Supervisor control for stand-alone photovoltaic/hydrogen/ battery bank system to supply energy to an electric vehicle

Mebarki, N., Rekioua, T., Mokrani, Z., et al. (2015) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2015.03.024 · Cited by 49

Optimal energy management strategy of fuel‐cell battery hybrid electric mining truck to achieve minimum lifecycle operation costs

Feng, Y., & Dong, Z. (2020) · International Journal of Energy Research · doi:10.1002/er.5728 · Cited by 46

Investigation and analysis of proton exchange membrane fuel cell dynamic response characteristics on hydrogen consumption of fuel cell vehicle

Shan, C., Hu, D., Hao, D., et al. (2022) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2022.03.063 · Cited by 45

A Long‐term Energy Management Strategy for Fuel Cell Electric Vehicles Using Reinforcement Learning

Zhou, Y., Huang, L., Sun, X., et al. (2020) · Fuel Cells · doi:10.1002/fuce.202000095 · Cited by 44

Optimal selection range of FCV power battery capacity considering the synergistic decay of dual power source lifespan

Lu, D., Hu, D., Yi, F., Li, J., & Yang, Q. (2023) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2022.12.135 · Cited by 43

Multiobjective Optimal Predictive Energy Management for Fuel Cell/Battery Hybrid Construction Vehicles

Li, T., Liu, H., Wang, H., et al. (2020) · IEEE Access · doi:10.1109/access.2020.2969494 · Cited by 40

The Effect of Fuel Cell and Battery Size on Efficiency and Cell Lifetime for an L7e Fuel Cell Hybrid Vehicle

Fletcher, T., & Ebrahimi, K. M. (2020) · Energies · doi:10.3390/en13225889 · Cited by 40

Design of Artificial Transmission Line and Low-Pass Filter Based on Aperiodic Stubs on a Microstrip Line

Chen, C.-J. (2014) · IEEE Transactions on Components Packaging and Manufacturing Technology · doi:10.1109/tcpmt.2013.2297377 · Cited by 38

A Study of Vehicle Driving Condition Recognition Using Supervised Learning Methods

Xu, B., Shi, J., Li, S., et al. (2021) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2021.3127194 · Cited by 33

Electric vehicle aggregation model: A probabilistic approach in representing flexibility

Jenkins, M., & Kockar, I. (2022) · Electric Power Systems Research · doi:10.1016/j.epsr.2022.108484 · Cited by 28

Landslide Displacement Prediction Method Based on GA-Elman Model

Wang, C., Zhao, Y., Bai, L., et al. (2021) · Applied Sciences · doi:10.3390/app112211030 · Cited by 23

Braking control performances of a disk-type magneto-rheological brake via hardware-in-the-loop simulation

Wang, N., Wang, S., Peng, Z. G., et al. (2018) · Journal of Intelligent Material Systems and Structures · doi:10.1177/1045389x18800395 · Cited by 17

Online Prediction of Vehicular Fuel Cell Residual Lifetime Based on Adaptive Extended Kalman Filter

Song, K., Wang, Y., Hu, X., et al. (2020) · Energies · doi:10.3390/en13236244 · Cited by 14

Health-conscious deep reinforcement learning energy management for fuel cell buses integrating environmental and look-ahead road information

Jia, C., Zhou, J., He, H., Li, J., Wei, Z., & Li, K. (2024) · Energy · doi:10.1016/j.energy.2023.130146 · Cited by 131

Remaining useful life prediction of PEMFC based on matrix long short-term memory

Yi, F., Shu, X., Zhou, J., Zhang, J., Feng, C., Gong, H., Zhang, C., & Yu, W. (2025) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2025.02.302 · Cited by 73

Bidirectional DC-DC Converter Topologies for Hybrid Energy Storage Systems in Electric Vehicles: A Comprehensive Review

Tong, Y., Salhi, I., Wang, Q., Lu, G., & Wu, S. (2025) · Energies · doi:10.3390/en18092312 · Cited by 60

A novel health-aware deep reinforcement learning energy management for fuel cell bus incorporating offline high-quality experience

Jia, C., He, H., Zhou, J., Li, J., Wei, Z., & Li, K. (2023) · Energy · doi:10.1016/j.energy.2023.128928 · Cited by 25

The Vedic Dual: Part VI, The Elliptic Dual; Part VII, The Dual Dvandva

Oliphant, S. G. (1912) · Journal of the American Oriental Society · doi:10.2307/3087586 · Cited by 8

Dual Training – a Good Solution to Current Socio-economic Problems

Toneva, S. (2021) · Vocational Education · doi:10.53656/voc22-303dual

Battery Lifetime Enhancement Based on Recovery Effect

Lee, J.-B., & Lee, S. (2014) · Journal of IKEEE · doi:10.7471/ikeee.2014.18.1.096 · Cited by 1

Epistemology and application of dual attestation in historical research——To commemorate the 80th anniversary of Wang Weiguo's hypothesis of dual attestation

Jian-zhen, W. (2006) · Journal of Hebei Normal University

Dual Trading in Futures Markets

Fishman, M. J., & Longstaff, F. A. (1992) · The Journal of Finance · doi:10.1111/j.1540-6261.1992.tb04404.x · Cited by 138