Research on HEV multi-agent control based on working condition recognition

Jianhua Yin; Limin Niu; Fentian Zhu; Ming Si; Tianpeng Zhou

doi:10.1117/12.3024252

13 May 2024 Research on HEV multi-agent control based on working condition recognition

Jianhua Yin, Limin Niu, Fentian Zhu, Ming Si, Tianpeng Zhou

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131599U (2024) https://doi.org/10.1117/12.3024252
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

Aiming at the adaptive problem of driving conditions in the energy management process of Hybrid Electric Vehicle (HEV), the research of HEV powertrain multi-intelligent body control system based on condition recognition is carried out with two-axle parallel HEV as the research object. Firstly, the theory of Multi-Agent System (MAS) is introduced into the vehicle power system, and a vehicle powertrain control model is constructed; the working condition recognition module is established, and it is embedded into the ADVISOR vehicle simulation software together with the energy management strategies of four different working condition control types, and compared and analyzed with the electrically-assisted strategies, and the experiments are carried out on the basis of the D2P technology. Based on D2P technology, an experimental rig is built to verify the effectiveness and feasibility of the proposed strategies.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jianhua Yin, Limin Niu, Fentian Zhu, Ming Si, and Tianpeng Zhou "Research on HEV multi-agent control based on working condition recognition", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131599U (13 May 2024); https://doi.org/10.1117/12.3024252

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