Thermal management optimization strategy of electric vehicle based on dynamic programming

被引：10
|
作者：
Lian, YuBo [1 ]
Ling, HePing [1 ]
Zhu, JiaPeng [1 ]
Lv, JingLun [1 ]
Xie, ZhenWen [1 ]
机构：
[1] BYD Auto Ind Co Ltd, Xian, Peoples R China
来源：
CONTROL ENGINEERING PRACTICE | 2023年 / 137卷
基金：
国家重点研发计划;
关键词：
Electric vehicle; Thermal management; Dynamic programming; Control strategy; ENERGY-CONSUMPTION; BATTERY; PREDICTION;
D O I：
10.1016/j.conengprac.2023.105562
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to further tap the energy saving potential of the thermal management system of pure electric vehicles and to improve the driving range under low temperature environment, a vehicle thermal management control strategy based on dynamic programming was designed. Firstly, based on the AmeSim and Simulink co -simulation platform, a refined simulation model of the vehicle thermal management system was built, including the battery system, drive system and heat pump system models. Then, a vehicle thermal management control strategy based on forward dynamic programming algorithm was proposed. By optimizing the control trajectory of compressor speed, PTC ( Positive Temperature Coefficient) power and waste heat mode, both economy and cabin comfort were improved. Finally, the simulation based on CLTC (China Light Vehicle Test Cycle) working condition verifies the effectiveness of the control strategy.
引用
收藏
页数：16
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