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Adaptive deep reinforcement learning energy management for hybrid electric vehicles considering driving condition recognition. (2024). Li, Junhui ; Zhang, Dehai ; Zheng, Jia ; Chen, Zheng ; Wei, Fuxing ; Shen, Shiquan ; Liu, Yonggang ; Guo, Ningyuan.
In: Energy.
RePEc:eee:energy:v:313:y:2024:i:c:s0360544224038647.

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  2. Artificial Intelligence Algorithms for Hybrid Electric Powertrain System Control: A Review. (2025). Tang, Jingxian ; Fan, Wenhao ; Liu, Liang ; Zhong, Dawei.
    In: Energies.
    RePEc:gam:jeners:v:18:y:2025:i:8:p:2018-:d:1634605.

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  3. Artificial-Intelligence-Based Energy Management Strategies for Hybrid Electric Vehicles: A Comprehensive Review. (2025). Wei, Xiaoxu ; Wang, Guangya ; Huang, Bin ; Yu, Wenbin ; Ma, Minrui.
    In: Energies.
    RePEc:gam:jeners:v:18:y:2025:i:14:p:3600-:d:1697172.

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  4. Research and Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles: A Review. (2025). Wang, Fan ; Hong, Yina ; Zhao, Xiaohuan.
    In: Energies.
    RePEc:gam:jeners:v:18:y:2025:i:11:p:2873-:d:1668536.

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  5. Adaptive energy management strategy for Extended Range Electric Vehicles under complex road conditions based on RF-IGWO and MGO algorithms. (2025). Wu, Limin ; Zhang, Yan ; Mo, Haijun ; He, Liange ; Tang, Jinwang.
    In: Energy.
    RePEc:eee:energy:v:328:y:2025:i:c:s0360544225021425.

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