Stochastic Dynamic Programming of Air Conditioning System for Electric Vehicles

被引：15
|
作者：
He, Hongwen [1 ]
Jia, Hui [1 ]
Huo, Weiwei [1 ]
Yan, Mei [1 ]
机构：
[1] Beijing Inst Technol, Zhongguanclm South St, Beijing 100081, Peoples R China
来源：
8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016) | 2017年 / 105卷
关键词：
Air Conditioning System; Stochastic Dynamic Programming; Electric Vehicle; Electricity Consumption; Optimal Control; CONSUMPTION;
D O I：
10.1016/j.egypro.2017.03.724
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Air conditioning (AC) system, as a main electricity consumption unit among the Electric vehicle (EV) auxiliary devices, has significant effects on the electricity efficiency of EVs. An energy management strategy is critical to distribute the energy more reasonable and extend the driving range. In this paper, a Stochastic Dynamic Programming (SDP) control strategy is used to optimize the electricity consumption of AC system. To study the relationship between solar radiation and electricity saving of AC system, a thermal model of the cabin and a mathematical model of AC system have been built. The electricity consumption using SDP algorithm is 10.35% less than using a rulebased controller. Additionally, the fluctuation of cabin temperature is considerably reduced with an AC system controlled by SDP. (C) 2017 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：2518 / 2524
页数：7
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