摘要
动力电池在电动汽车行驶过程中不断产热,持续高温会降低电池的使用寿命,危害汽车的运行安全。因此,采取高效、节能的冷却优化策略,提高动力电池工作效率十分必要。本文基于电池的生热特性和牛顿冷却定律建立电池组集中质量热模型,并与AMESim中建立的电池液冷系统模型进行对比,验证其准确性。针对电池热管理系统的高度非线性与时变性,提出一种在多维搜索空间迭代逼近最优值的迭代动态规划(IDP)策略。通过Mat⁃Lab-AMESim联合仿真对比,证明了此方法以最小的能耗对电池组温度进行快速冷却,且冷却液流速稳定,验证了IDP优化策略的高效性与节能性。
During the driving of electric vehicles,the power battery continuously generates heat.Continu⁃ous high temperature will affect the battery life and the safety of the operation of electric vehicles.Therefore,it is necessary to adopt an efficient and energy-saving cooling optimization strategy in order to improve the efficiency of the power battery.Based on the heat generation characteristics of battery and Newton's law of cooling,a concentrat⁃ed mass heat model of the battery pack is established in this paper,and compared with the battery liquid cooling model set up in AMESim to verify the accuracy of the model.In view of the high nonlinearity and time varying of the battery thermal management system,an iterative dynamic programming(IDP)strategy of iterative approximation of optimal control in multidimensional search space is proposed in this paper.Through the co-simulation of Matlab-AMESim,it shows that the proposed IDP optimization strategy can rapidly cool the temperature of the battery pack with minimum energy consumption,and the coolant flow rate is stable,which verifies the high efficiency and energy saving of the optimization strategy.
作者
马彦
李佳怡
马乾
陈明超
Ma Yan;Li Jiayi;Ma Qian;Chen Mingchao(College of Communication Engineering,Jilin University,Changchun 130022;Jilin University,State Key Laboratory of Automotive Simulation and Control,Changchun 130022;College of Information and Control Engineering,Jilin Institute of Chemical Technology,Jilin 132000)
出处
《汽车工程》
EI
CSCD
北大核心
2022年第5期709-721,共13页
Automotive Engineering
基金
国家自然科学基金(U1864201、61520106008)资助。
关键词
锂离子电池组
迭代动态规划
集中热模型
液冷系统
电池热管理
lithium-ion battery pack
iterative dynamic programming
concentrated heat model
liquid cooling system
battery thermal management
