• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2021, Vol. 57 ›› Issue (22): 226-236.doi: 10.3901/JME.2021.22.226

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Modeling Analysis of Heating Consistency and Influencing Factors of Low-temperature Extreme-speed Self-heating System of Battery

CHEN Zeyu1,2, ZHANG Bo1, XIONG Rui2, LI Shijie1   

  1. 1. School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819;
    2. National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081
  • Received:2020-12-21 Revised:2021-06-30 Online:2021-11-20 Published:2022-02-28

Abstract: The aims is to study the control technology of intelligent hybrid electric vehicles(HEVs) and deep reinforcement learning (DRL) algorithms. Firstly, under the car-following model of two HEVs, a deep q-network(DQN)-based energy management strategy (EMS) for the leading car is proposed, which realizes the multi-objective collaborative control of the engine and the continuous variable transmission(CVT) by DRL. Secondly, a hierarchical control model based on DRL is established for the following car, which realizes the upper-level car-following control and lower-level energy management facing to an intelligent HEV. Finally, a simulation verifies the effectiveness of the hierarchical control model. The results show that the DRL-based car-following control strategy has ideal tracking performance. Meanwhile, the DRL-based EMS achieves good fuel economy in both the leading car and the following car. Moreover, the average time of outputting each set of actions is 1.66ms for the DRL-based EMS, which ensuring the potential for real-time applications.

Key words: electric vehicles, power battery, low temperature heating, external short circuit, thermal management

CLC Number: