Energy management strategy for plug-in hybrid electric vehicles based on improved annealing algorithm

Chao Hu; Limin Niu; Daiqing Zhang; Lingchu Wan

doi:10.1117/12.2689468

7 September 2023 Energy management strategy for plug-in hybrid electric vehicles based on improved annealing algorithm

Chao Hu, Limin Niu, Daiqing Zhang, Lingchu Wan

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 1279035 (2023) https://doi.org/10.1117/12.2689468
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

In order to solve the problem that minimum control strategy of equivalent fuel consumption for plug-in hybrid electric vehicles (PHEVs) is not effective, an ECMS energy management strategy based on improved annealing algorithm was designed. Firstly, based on the traditional control model, the optimized PID equivalent factor control model is constructed. In order to solve the problem of overfitting when optimizing the traditional annealing algorithm (SA), tempering link and memory search function were added to the algorithm, and the improved algorithm was used to optimize the PID equivalent factor, and the vehicle dynamics simulation was carried out in MATLAB/SIMULINK environment. The results show that: Under the Worldwide Light-duty Test Cycle (WLTC) conditions, compared with the rule-based logical threshold control strategy and the pre-optimized ECMS strategy, the optimized ECMS strategy increased the fuel saving rate by 18.49% and 3.28%, respectively. Under the New European Driving Cycle (NEDC) conditions, compared with the rule-based logical threshold control strategy and the pre-optimized ECMS strategy, the fuel saving rate is increased by 20.20% and 2.61%, respectively. The proposed model effectively reduces fuel consumption and has good robustness.

Citation Download Citation

Chao Hu, Limin Niu, Daiqing Zhang, and Lingchu Wan "Energy management strategy for plug-in hybrid electric vehicles based on improved annealing algorithm", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 1279035 (7 September 2023); https://doi.org/10.1117/12.2689468

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