动力电池低温极速自加热系统加热一致性及其影响因素的建模分析

doi:10.3901/JME.2021.22.226

机械工程学报 ›› 2021, Vol. 57 ›› Issue (22): 226-236.doi: 10.3901/JME.2021.22.226

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动力电池低温极速自加热系统加热一致性及其影响因素的建模分析

陈泽宇^1,2, 张渤¹, 熊瑞², 李世杰¹

1. 东北大学机械工程与自动化学院沈阳 110819;
2. 北京理工大学电动车辆国家工程实验室北京 100081

收稿日期:2020-12-21 修回日期:2021-06-30 出版日期:2021-11-20 发布日期:2022-02-28
通讯作者: 熊瑞(通信作者),男,1985年出生,教授,博士研究生导师,IETFellow。主要研究方向为电动载运工具动力系统、动力电池系统和人工智能。E-mail:rxiong@bit.edu.cn
作者简介:陈泽宇,男,1982年出生,副教授,博士研究生导师。主要研究方向为混合动力系统优化与电池管理技术。E-mail:chenzy@mail.neu.edu.cn;张渤,男,1995年出生,硕士研究生。主要研究方向为动力电池管理技术。E-mail:zhangbochn@stumail.neu.edu.cn;李世杰,女,1997年出生,硕士研究生。主要研究方向为电池热管理与低温加热技术。E-mail:shijie02@stu.neu.edu.cn
基金资助:
国家自然科学基金（51922006，51977029）和中央高校基本科研业务专项资金（N2003002）资助项目。

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

CHEN Zeyu^1,2, ZHANG Bo¹, XIONG Rui², LI Shijie¹

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

摘要/Abstract

摘要： 锂离子动力电池在低温环境下性能急剧衰退，制约了电动汽车在全气候范围内的推广应用。针对电触发极速加热系统：首先进行电热特性建模方法研究，开展电特性表征，建立考虑材料各向异性的电池产热及热扩散有限元模型，试验验证表明电流误差低于98.2 mA，温升误差小于4.09%；仿真研究不同占空比、电池初始SOC情况的加热特性，进而对电池组在加热过程中的加热行为一致性进行研究，结果表明可在270 s内从-20℃加热到20℃，最大温差低于3.94℃；分析电池单体不一致性与加热系统控制参数对加热行为一致性的影响特性，结果表明电池组温升不一致性与单体电池内阻标准差呈正线性相关，且受控制频率与占空比影响显著，其中占空比对温升影响幅度高达15%。

关键词: 电动汽车, 动力电池, 低温加热, 外部短路, 热管理

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

中图分类号:

TM912

陈泽宇, 张渤, 熊瑞, 李世杰. 动力电池低温极速自加热系统加热一致性及其影响因素的建模分析[J]. 机械工程学报, 2021, 57(22): 226-236.

CHEN Zeyu, ZHANG Bo, XIONG Rui, LI Shijie. Modeling Analysis of Heating Consistency and Influencing Factors of Low-temperature Extreme-speed Self-heating System of Battery[J]. Journal of Mechanical Engineering, 2021, 57(22): 226-236.

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动力电池低温极速自加热系统加热一致性及其影响因素的建模分析

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

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