电工技术学报  2020, Vol. 35 Issue (10): 2181-2193    DOI: 10.19595/j.cnki.1000-6753.tces.190486
电力电子 |
基于多目标优化的电动汽车变流器IGBT及开关频率的选择
罗旭1, 王学梅1, 吴海平2
1. 华南理工大学电力学院 广州 510640;
2. 比亚迪股份有限公司 深圳 518119
Selections of IGBTs and Switching Frequency of the Electric Vehicle Converter Based on Multi-Objective Optimization
Luo Xu1, Wang Xuemei1, Wu Haiping2
1. School of Power Electric South China University of Technology Guangzhou 510640 China;
2. BYD Company Limited Shenzhen 518119 China
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摘要 IGBT的选择对功率变换器的效率、可靠性和成本均有重要影响,是变换器设计阶段要解决的首要问题。然而,目前在功率变换器的设计中,IGBT及开关频率的选择更多依赖于设计者的经验,缺乏明确的理论依据。为此,该文提出一种新颖的基于多目标优化的电动汽车(EV)变流器设计方法。首先,建立了基于行驶工况的,与变流器损耗、可靠性和成本相关的三个性能评价指标;然后,通过所设计的多目标优化流程,获得了以IGBT和开关频率为设计变量的Pareto最优解集;最后,采用层次分析法选取一个最优解并进行实验验证。
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关键词 电动汽车变流器多目标优化可靠性成本    
Abstract:The selection of IGBTs is the primary and most important issue in the design stage of power converters, and plays an important role in converter’s efficiency, reliability and cost. However, IGBTs and switching frequency are always chosen approximately and empirically, and there is no clear theoretical basis so far. To solve this problem, a novel optimized design method of EV converters is proposed in this paper. First, three evaluation functions related to energy loss, lifetime and cost are established based on long term driving cycles. Then, the Pareto solution sets of two variables of IGBTs and switching frequency are obtained by the designed multi-objective optimization process. Last, an optimal solution is selected by using hierarchical analysis method and verified by experiments.
Key wordsElectric vehicles converter    multi-objective optimization    reliability    cost   
收稿日期: 2019-04-24     
PACS: TM46  
通讯作者: 王学梅 女,1972年生,博士,教授,研究方向为电力电子变流器的可靠性及控制方法。E-mail: epxmwang@scut.edu.cn   
作者简介: 罗 旭 男,1990年生,硕士研究生,研究方向为电动汽车车变流器及其控制方法。E-mail: epxluo@mail.scut.edu.cn
引用本文:   
罗旭, 王学梅, 吴海平. 基于多目标优化的电动汽车变流器IGBT及开关频率的选择[J]. 电工技术学报, 2020, 35(10): 2181-2193. Luo Xu, Wang Xuemei, Wu Haiping. Selections of IGBTs and Switching Frequency of the Electric Vehicle Converter Based on Multi-Objective Optimization. Transactions of China Electrotechnical Society, 2020, 35(10): 2181-2193.
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