Research on energy management for hybrid electric vehicles in WLTP driving cycle

Yan-Tao Zhang; Mao-Bin Hu

doi:10.1117/12.2680799

23 May 2023 Research on energy management for hybrid electric vehicles in WLTP driving cycle

Yan-Tao Zhang, Mao-Bin Hu

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 1264515 (2023) https://doi.org/10.1117/12.2680799
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

Energy management strategy can greatly affect fuel economy of Hybrid Electrical Vehicles (HEVs). This paper proposes a Dynamic Programming (DP) algorithm to optimize the power supply ratio of Electric Motor (EM) and Internal Combustion Engine (ICE). The results show that World Light Vehicle Test Procedure (WLTP) optimized by the DP algorithm can keep the State of Charge (SOC) of the battery within the set range. Compared with the Rule-based CDCS strategy, the fuel saving rate can reach 28.4%. The method can be valuable for the develop of energy control strategy of HEVs.

Citation Download Citation

Yan-Tao Zhang and Mao-Bin Hu "Research on energy management for hybrid electric vehicles in WLTP driving cycle", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 1264515 (23 May 2023); https://doi.org/10.1117/12.2680799

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