Journal of Northeastern University(Natural Science) ›› 2022, Vol. 43 ›› Issue (2): 228-235.DOI: 10.12068/j.issn.1005-3026.2022.02.011

• Mechanical Engineering • Previous Articles     Next Articles

Optimization of Power Consumption Algorithm for Pure Electric Vehicle Under the Influence of Multiple Factors

LI Lin-hui1,2, ZHANG Xin-liang1, LIAN Jing1,2, ZHOU Ya-fu1   

  1. 1. School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China; 2. State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, China.
  • Revised:2021-05-12 Accepted:2021-05-12 Published:2022-02-28
  • Contact: LIAN Jing
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Abstract: Aiming at the problem of power consumption prediction of pure electric vehicles, a power consumption calculation model considering the influence of environmental temperature, battery state and vehicle speed was proposed. Firstly, based on the independently developed data acquisition device, the long-term driving data of pure electric vehicles in different cities were collected as the basis of model construction. Secondly, considering the factors such as temperature, battery and speed in the actual driving process of pure electric vehicles, combined with the road driving standard of China automobile driving conditions(CATC-LT), the power consumption model of pure electric vehicle traveling 100km was proposed. Finally, the power consumption of 100km in the actual complex environment was optimized. The results show that the root-mean-square error (RMSE) is in the range of 0.83-4.92, and the mean RMSE is 2.00, which is 77.1% lower than the RMSE of the traditional method.

Key words: battery electric vehicles; power consumption; driving conditions in China; environment temperature; battery status

CLC Number: