Leveraging the communication and intelligent control technology, connected fuel cell hybrid electric vehicles (FCHEVs) allow eco-driving to control power distribution and motion, thereby improving driving performance. This study proposes an improved soft actor-critic (SAC) based eco-driving framework in highway scenario for FCEHVs, co-optimize the energy management system (EMS), longitudinal speed planning, and lateral lane change decisions for driving energy efficiency, safety, comfort, durability, and travel efficiency. Additionally, re-attentive experience replay (RAER) is utilized to flexibly re-evaluate the weights of important experiences to accelerate training. Comparative experiments of different algorithms and scenarios manifest optimality and adaptability of the proposed framework.


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    Titel :

    Comprehensive Eco Driving Framework for Connected Fuel Cell Hybrid Electric Bus in Highway Based on Improved Soft Actor-Critic Algorithm


    Beteiligte:
    Zhou, Jiaxuan (Autor:in) / He, Hongwen (Autor:in) / Shi, Yebo (Autor:in) / Chen, Weiqi (Autor:in) / Peng, Jiankun (Autor:in) / Ma, Chunye (Autor:in)


    Erscheinungsdatum :

    25.10.2024


    Format / Umfang :

    1519288 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch