[1]付主木,王斌,高爱云,等.HEV再生制动时电池快速充电模糊控制策略[J].东南大学学报(自然科学版),2012,42(3):435-440.[doi:10.3969/j.issn.1001-0505.2012.03.008]
 Fu Zhumu,Wang Bin,et al.Fuzzy control strategy of battery fast charging in regenerative braking for hybrid electric vehicles[J].Journal of Southeast University (Natural Science Edition),2012,42(3):435-440.[doi:10.3969/j.issn.1001-0505.2012.03.008]
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HEV再生制动时电池快速充电模糊控制策略()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
42
期数:
2012年第3期
页码:
435-440
栏目:
自动化
出版日期:
2012-05-20

文章信息/Info

Title:
Fuzzy control strategy of battery fast charging in regenerative braking for hybrid electric vehicles
作者:
付主木12 王斌1 高爱云3 费树岷4
1 河南科技大学电子信息工程学院, 洛阳 471003; 2 山东大学控制科学与工程学院, 济南 250061; 3 河南科技大学车辆与动力工程学院, 洛阳 471003; 4 东南大学自动化学院, 南京 210096
Author(s):
Fu Zhumu1 2 Wang Bin1 Gao Aiyun3 Fei Shumin4
1 Electronic and Information Engineering College, Henan University of Science and Technology, Luoyang 471003, China
2 School of Control Science and Engineering, Shandong University, Jinan 250061, China
3 Vehicle and Motive Power Engineering College, Henan University of Science and Technology, Luoyang 471003, China
4 School of Automation, Southeast University, Nanjing 210096, China
关键词:
混合动力汽车 再生制动 模糊控制 快速充电
Keywords:
hybrid electric vehicle(HEV) regenerative braking fuzzy control fast charging
分类号:
TP273
DOI:
10.3969/j.issn.1001-0505.2012.03.008
摘要:
为了提高混合动力汽车(HEV)再生制动时蓄电池的充电效率,保证蓄电池的使用安全,在分析蓄电池充电过程热交换模型的基础上,建立了电池开路电压-内阻模型与充电效率间的数学关系.然后,基于马斯定律,设计了适用于HEV再生制动时电池快速充电模糊控制算法.在Matlab环境下搭建了闭环控制系统仿真模型,通过建模与仿真计算出HEV在不同控制策略下的电能回收率.结果表明在相同制动情况下,设计的快速充电模糊控制策略与限流充电控制策略相比,电能回收率增加了8.41%.
Abstract:
In order to improve the charging efficiency of the hybrid electric vehicle(HEV)batteries during regenerative braking and ensure its safety, based on the analysis of the heat-transfer model for the battery charging process, the mathematical relationship between the open circuit voltage-internal resistance model and the charge efficiency is first established. Then a fuzzy control algorithm of battery fast charging is designed based on the Malus law. The simulation model of closed-loop control system is established in Matlab. Finally, by modeling and simulation, the rate of electric energy recovery for HEV is calculated with different control strategies. It is shown that the rate of electric energy recovery with the fuzzy control strategy is increased by 8.41% compared with the constant current charge method in the same brake condition.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 付主木(1974—),男,博士,副教授,fzm1974@163.com.
基金项目: 国家自然科学基金重点资助项目(60835001)、国家自然科学基金资助项目(60904023)、河南省科技攻关资助项目(102102210449).
引文格式: 付主木,王斌,高爱云,等.HEV再生制动时电池快速充电模糊控制策略[J].东南大学学报:自然科学版,2012,42(3):435-440. [doi:10.3969/j.issn.1001-0505.2012.03.008]
更新日期/Last Update: 2012-05-20