Optimal Control of Extended-range Electric Vehicle Warm-up Process Based on Dynamic Programming Method

被引：0
|
作者：
Wang, Da [1 ]
Song, Shixin [1 ]
Xiao, Feng [1 ]
机构：
[1] Jilin Univ, Changchun 130000, Jilin, Peoples R China
来源：
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年
关键词：
Automotive Engineering; Extended-range Electric Vehicle; Warm-up Process; Dynamic Programming;
D O I：
暂无
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 reduce wear and energy consumption of the extended-range electric vehicle (EREV) or hybrid electric vehicle (HEV) under low temperature, the optimized control strategies for auxiliary power unit (APU) cold-start and warm-up process was established. During the research process, the influence of engine temperature on efficiency and the relation between the rate of temperature rise and engine working conditions under different temperature was measured through experimental methods. Then, with the overall energy consumption through the warm-up process set as the optimization target, a dynamic programming control model was set up and got the optimization power output sequence. Results show that, this control strategy can reduce fuel consumption and time needed for warming up respectively.
引用
收藏
页码：9484 / 9490
页数：7
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