Research on regenerative braking energy recovery strategy of electric vehicle based on driving style

Zhiqiang Xu

doi:10.1117/12.3054751

11 December 2024 Research on regenerative braking energy recovery strategy of electric vehicle based on driving style

Zhiqiang Xu

Proceedings Volume 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024); 134450T (2024) https://doi.org/10.1117/12.3054751
Event: International Conference on Electronics. Electrical and Information Engineering (ICEEIE 2024), 2024, Haikou, China

Abstract

The efficiency of regenerative braking energy recovery in electric vehicles is closely related to their operational performance, a BLSTM model was established to calculate the differences in energy consumption of electric vehicles under different driving styles, and the specific energy consumption of electric vehicles was judged according to the differences in energy consumption. The IIDP algorithm calculates the recovery efficiency of regenerative braking energy in electric vehicles and selects the most suitable recovery strategy. Combined with the IIDP-BLSTM model, it analyzes regenerative braking energy recovery strategies based on driving styles. Error test and simulation comparison experiment proved that the IIDP-BLSTM model studied in this paper had stronger energy saving in regenerative braking energy recovery of electric vehicles. And has good optimization performance.

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

Citation Download Citation

Zhiqiang Xu "Research on regenerative braking energy recovery strategy of electric vehicle based on driving style", Proc. SPIE 13445, International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2024), 134450T (11 December 2024); https://doi.org/10.1117/12.3054751

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