机械工程学报 ›› 2017, Vol. 53 ›› Issue (16): 20-31.doi: 10.3901/JME.2017.16.020
• 特邀专栏:汽车先进动力系统的设计、优化与控制(下) • 上一篇 下一篇
胡晓松1,2, 唐小林1,2
收稿日期:
2016-08-25
修回日期:
2017-07-15
出版日期:
2017-08-20
发布日期:
2017-08-20
通讯作者:
唐小林,男,1984年出生,博士,讲师。主要研究方向为混合动力系统建模与控制。E-mail:tangxl0923@cqu.edu.cn
E-mail:tangxl0923@cqu.edu.cn
作者简介:
胡晓松(通信作者),男,1983年出生,博士,研究员。主要研究方向为电动汽车电池管理技术及机电复合动力传动系统优化与控制。E-mail:xiaosonghu@ieee.org
基金资助:
HU Xiaosong1,2, TANG Xiaolin1,2
Received:
2016-08-25
Revised:
2017-07-15
Online:
2017-08-20
Published:
2017-08-20
摘要: 电动车辆是可持续交通系统的重要组成部分,然而动力电池技术是目前制约电动车辆发展的关键瓶颈技术,其直接造成公众对电动车辆续驶里程、充电时间、安全性等问题的顾虑。为了确保动力电池系统在复杂车载环境下的高效、安全和可靠运行,先进电池管理系统至关重要。由于传感技术目前不能直接测量电池内部关键微观物理量,所以如何建立高保真的电池模型是电池管理系统开发的重要挑战,严重影响电池管理的有效性和鲁棒性。简述车用动力电池的种类与性能比较结果,展示锂离子电池在综合性能上的优越性。介绍锂离子电池管理系统的基本功能,强调电池建模的意义和重要性。分别从电学特性模型、热模型、电热耦合模型、老化模型四个方面,较为具体地综述了文献中已有建模方法,并对各种方法进行系统分类。重点阐述面向控制的新模型结构与建模思路,以期促进先进的基于模型的电池管理算法的开发。
中图分类号:
胡晓松, 唐小林. 电动车辆锂离子动力电池建模方法综述[J]. 机械工程学报, 2017, 53(16): 20-31.
HU Xiaosong, TANG Xiaolin. Review of Modeling Techniques for Lithium-ion Traction Batteries in Electric Vehicles[J]. Journal of Mechanical Engineering, 2017, 53(16): 20-31.
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