Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information

Cycle-life model for graphite-LiFePO4 cells

Wang, J. J., Liu, P., Hicks-Garner, J., Sherman, E., Soukiazian, S., Verbrugge, M. W., Tataria, H., Musser, J., & Finamore, P. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2010.11.134 · Cited by 1,785

Energy management of hybrid electric vehicles: A review of energy optimization of fuel cell hybrid power system based on genetic algorithm

Lü, X., Wu, Y., Lian, J., Zhang, Y., Chen, C., Wang, P., & Meng, L. (2020) · Energy Conversion and Management · doi:10.1016/j.enconman.2020.112474 · Cited by 648

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

Deep Deterministic Policy Gradient-DRL Enabled Multiphysics-Constrained Fast Charging of Lithium-Ion Battery

Wei, Z., Quan, Z., Wu, J., Li, Y., Pou, J., & Zhong, H. (2021) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2021.3070514 · Cited by 243

Energy management strategies for fuel cell hybrid electric vehicles: Classification, comparison, and outlook

Zhao, X., Wang, L., Zhou, Y., et al. (2022) · Energy Conversion and Management · doi:10.1016/j.enconman.2022.116179 · Cited by 241

Role of Terrain Preview in Energy Management of Hybrid Electric Vehicles

Zhang, C., Vahidi, A., Pisu, P., et al. (2009) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2009.2038707 · Cited by 218

Route Preview in Energy Management of Plug-in Hybrid Vehicles

Zhang, C., & Vahidi, A. (2011) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2011.2115242 · Cited by 214

A comprehensive review of energy management optimization strategies for fuel cell passenger vehicle

Teng, T., Zhang, X., Dong, H., & Xue, Q. (2020) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2019.12.202 · Cited by 204

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

Deep reinforcement learning-based energy management of hybrid battery systems in electric vehicles

Li, W., Cui, H., Nemeth, T., Jansen, J., Ünlübayir, C., Wei, Z., Zhang, L., Wang, Z., Ruan, J., Dai, H., et al. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102355 · Cited by 195

Energy management for a power-split hybrid electric bus via deep reinforcement learning with terrain information

Li, Y., He, H., Khajepour, A., et al. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.113762 · Cited by 187

Battery-Involved Energy Management for Hybrid Electric Bus Based on Expert-Assistance Deep Deterministic Policy Gradient Algorithm

Wu, J., Wei, Z., Liu, K., et al. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.3025627 · Cited by 186

ARIMA-Based Road Gradient and Vehicle Velocity Prediction for Hybrid Electric Vehicle Energy Management

Guo, J., He, H., & Sun, C. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2912893 · Cited by 171

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

An integrated predictive energy management for light-duty range-extended plug-in fuel cell electric vehicle

Zhou, Y., Li, H., Ravey, A., et al. (2020) · Journal of Power Sources · doi:10.1016/j.jpowsour.2020.227780 · Cited by 150

Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges, and future trends

Dong, P., Zhao, J., Liu, X., Wu, J. Q., Xu, X., Liu, Y., Wang, S., & Guo, W. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112947 · Cited by 149

Optimized rule-based energy management for a polymer electrolyte membrane fuel cell/battery hybrid power system using a genetic algorithm

Yuan, H., Zou, W.-J., Jung, S., et al. (2022) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2021.12.121 · Cited by 134

Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving

Wu, J., Huang, Z., Huang, W., & Lv, C. (2022) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3177685 · Cited by 123

Comparative study of energy management strategies for hybrid proton exchange membrane fuel cell four wheel drive electric vehicle

Soumeur, M. A., Gasbaoui, B., Abdelkhalek, O., et al. (2020) · Journal of Power Sources · doi:10.1016/j.jpowsour.2020.228167 · Cited by 122

Reinforcement learning-based energy management strategies of fuel cell hybrid vehicles with multi-objective control

Zheng, C., Zhang, D., Xiao, Y., et al. (2022) · Journal of Power Sources · doi:10.1016/j.jpowsour.2022.231841 · Cited by 117

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

Comparative study on fuel saving potential of series-parallel hybrid transmission and series hybrid transmission

Xu, X., Zhao, J., Zhao, J., Shi, K., Dong, P., Wang, S., Liu, Y., Guo, W., & Liu, X. (2021) · Energy Conversion and Management · doi:10.1016/j.enconman.2021.114970 · Cited by 115

Deep reinforcement learning based energy management strategy for range extend fuel cell hybrid electric vehicle

Huang, Y., Hu, H., Tan, J., et al. (2023) · Energy Conversion and Management · doi:10.1016/j.enconman.2023.116678 · Cited by 110

Energy Management Strategy for Hybrid Energy Storage Electric Vehicles Based on Pontryagin’s Minimum Principle Considering Battery Degradation

Yi, F., Lu, D., Wang, X., Pan, C., Tao, Y., Zhou, J., & Zhao, C. (2022) · Sustainability · doi:10.3390/su14031214 · Cited by 104

An Improved Energy Management Strategy for Hybrid Electric Vehicles Integrating Multistates of Vehicle-Traffic Information

He, H., Wang, Y., Li, J., et al. (2021) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2021.3054896 · Cited by 101

Comparative study of energy management systems for a hybrid fuel cell electric vehicle - A novel mutative fuzzy logic controller to prolong fuel cell lifetime

Luca, R., Whiteley, M., Neville, T. P., Shearing, P. R., & Brett, D. J. L. (2022) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2022.05.192 · Cited by 101

Rule learning based energy management strategy of fuel cell hybrid vehicles considering multi-objective optimization

Liu, Y., Liu, J., Zhang, Y., et al. (2020) · Energy · doi:10.1016/j.energy.2020.118212 · Cited by 100

Energy consumption and battery aging minimization using a Q-learning strategy for a battery/ultracapacitor electric vehicle

Xu, B., Shi, J., Li, S., Li, H., & Wang, Z. (2021) · Energy · doi:10.1016/j.energy.2021.120705 · Cited by 99

Energy Management Strategy for Fuel Cell/Battery/Ultracapacitor Hybrid Electric Vehicles Using Deep Reinforcement Learning With Action Trimming

Fu, Z., Wang, H., Tao, F., et al. (2022) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2022.3168870 · Cited by 97

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

Co-optimization method of speed planning and energy management for fuel cell vehicles through signalized intersections

Wei, X., Leng, J., Sun, C., et al. (2021) · Journal of Power Sources · doi:10.1016/j.jpowsour.2021.230598 · Cited by 88

The Multi-Objective Optimization of Powertrain Design and Energy Management Strategy for Fuel Cell–Battery Electric Vehicle

Zhou, J., Feng, C., Su, Q., et al. (2022) · Sustainability · doi:10.3390/su14106320 · Cited by 79

Lifespan-consciousness and minimum-consumption coupled energy management strategy for fuel cell hybrid vehicles via deep reinforcement learning

Huo, W., Chen, D., Tian, S., et al. (2022) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2022.05.194 · Cited by 74

Near-optimal energy management for plug-in hybrid fuel cell and battery propulsion using deep reinforcement learning

Wu, P., Partridge, J., Anderlini, E., Liu, Y., & Bucknall, R. W. G. (2021) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2021.09.196 · Cited by 71

An Intelligent Power and Energy Management System for Fuel Cell/Battery Hybrid Electric Vehicle Using Reinforcement Learning

Reddy, N. P., Pasdeloup, D., Zadeh, M., et al. (2019) · IEEE Transportation Electrification Conference and Expo · doi:10.1109/itec.2019.8790451 · Cited by 68

A new cost-minimizing power-allocating strategy for the hybrid electric bus with fuel cell/battery health-aware control

He, H., Jia, C., & Li, J. (2022) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2022.04.297 · Cited by 49

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

A Deep Reinforcement Learning-Based Energy Management Strategy for Fuel Cell Hybrid Buses

Zheng, C., Li, W., Li, W., Xu, K., Peng, L., & Won, S. (2021) · International Journal of Precision Engineering and Manufacturing-Green Technology · doi:10.1007/s40684-021-00403-x · Cited by 41

Multiobjective Optimization of Safety, Comfort, Fuel Economy, and Power Sources Durability for FCHEV in Car-Following Scenarios

Zhu, L., Tao, F., Fu, Z., et al. (2022) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2022.3193806 · Cited by 41

Multi-objective tradeoff optimization of predictive adaptive cruising control for autonomous electric buses: A cyber-physical-energy system approach

Shi, M., He, H., Li, J., et al. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.117385 · Cited by 30

Effective energy management strategy based on deep reinforcement learning for fuel cell hybrid vehicle considering multiple performance of integrated energy system

Hu, H., Lu, C., Tan, J., et al. (2022) · International Journal of Energy Research · doi:10.1002/er.8731 · Cited by 28

A model of PEMFC-battery system to evaluate inner operating status and energy consumption under different energy management strategies

Yan, J., Rong, Z., & Wang, Y. (2021) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2021.10.236 · Cited by 19

A Novel Minimal-Cost Power Allocation Strategy for Fuel Cell Hybrid Buses Based on Deep Reinforcement Learning Algorithms

Li, K., Jia, C., Han, X., & He, H. (2023) · Sustainability · doi:10.3390/su15107967 · Cited by 13

Research on ADHDP energy management strategy for fuel cell hybrid power system

Fu, Z., Chen, Q., Zhang, L., et al. (2021) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2021.02.055 · Cited by 10

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

Deep reinforcement learning-based energy management strategy for fuel cell buses integrating future road information and cabin comfort control

Jia, C., Liu, W., He, H., & Chau, K. T. (2024) · Energy Conversion and Management · doi:10.1016/j.enconman.2024.119032 · Cited by 125

A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction

Zhou, J., Shu, X., Zhang, J., Yi, F., Jia, C., Zhang, C., Kong, X., Zhang, J., & Wu, G. (2024) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2024.11.127 · Cited by 119

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

Summarizing to the Durability of Concrete

Song, W. (2002) · Journal of Putian University

METHODS FOR DURABILITY DESIGN OF COMMON CONCRETE

Wang, L. (2003) · Low Temperature Architecture Technology

Strategy for concrete structures accelerated durability

Wu, S. (2005) · Concrete

Concrete Durability: A Practical Guide to the Design of Durable Concrete Structures

Soutsos, M. N. (2009) · Research Portal (Queen's University Belfast) · Cited by 51

Durability prediction from service crack experience

de Jonge, J. B. (1994)