欢迎访问《汽车安全与节能学报》，
汽车安全与节能学报

JASE

• 汽车节能与环保 • 上一篇    下一篇

基于凸优化方法的复合储能系统能量管理

吴晓刚1, 2，侯维祥1   

  1. （1. 哈尔滨理工大学 电气与电子工程学院，哈尔滨150080，中国； 2. 汽车安全与节能国家重点实验室，清华大学，北京 100084，中国）
  • 收稿日期:2017-09-30 修回日期:2018-03-10 出版日期:2018-06-30 发布日期:2018-07-04
  • 作者简介:第一作者 / First author ： 吴晓刚(1981—)，男( 汉)，黑龙江，教授。E-mail: xgwu@hrbust.edu.cn。 第二作者 / Sencond author ： 侯维祥(1991—)，男( 满)，黑龙江，硕士研究生。 E-mail: houweixiang_ma15@hrbust.edu.cn。
  • 基金资助:

    汽车安全与节能国家重点实验室开放基金(KF16062)。

Energy management of hybrid energy storage system based on convex optimization

WU Xiaogang1,2, HOU Weixiang1   

  1. (1. School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China; 2. State Key Laboratory of Automotive Energy and Safety, Tsinghua University, Beijing 100084, China)
  • Received:2017-09-30 Revised:2018-03-10 Online:2018-06-30 Published:2018-07-04

PDF

572

摘要：

       为了延长动力电池的使用寿命并提高电动公交客车的整体运行能效，提出了一种以超级电容充放电深度作为优化目标的凸优化方法，以解决带有半主动复合储能系统的电动客车的能量优化分配问题。在中国城市公交道路工况的基础上，从综合能效、动力电池输出功率均方差及容量衰减方面, 对比分析了本优化方法与基于规则方法的功率分配策略。结果表明：基于凸优化功率分配方法的综合能效为84.2%，动力电池输出功率的均方差为10.3 kW。在40 ℃条件下，100 个循环工况后动力电池容量衰减为0.40%。较之基于规则的功率分配方法，本文方法的综合能效提高了0.4%，动力电池输出功率的均方差降低了52.8%，容量衰减降低了53.6%。

关键词: 电动客车 , 复合储能系统 , 能量管理方法 ,  凸优化 , 能效分析

Abstract:

A convex optimization method for charging and discharging depth of supercapacitors was proposed to solve the energy allocation problem of an electric bus with a semi-active compound energy storage system and to extend the service life of power batteries and improve the overall operating energy efficiency of electric
buses. This method and a rule-based power allocation strategy proposed were compared and analyzed from the aspects of comprehensive energy efficiency, power cell output power variance and capacity attenuation on the basis of the typical China Bus Driving Cycle. The results show that the integrated energy efficiency based on the convex optimized power distribution mehod is 84.2%, and the mean square deviation of the output power of the battery is 10.3 kW. The capacity decay of the power battery is 0.40% after 100 cycles at 40 ℃ . The comprehensive energy efficiency of the proposed method is improved by 0.4%, the mean square deviation of the output power of the power battery is reduced by 52.8%, and the capacity attenuation is reduced by 53.6% compared with the rule-based power allocation method.

Key words: electric bus , hybrid energy storage system , energy management method , convex optimization , energy efficiency analysis