[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] 点击复制 HEV再生制动时电池快速充电模糊控制策略() 分享到： var jiathis_config = { data_track_clickback: true };

42

2012年第3期

435-440

2012-05-20

文章信息/Info

Title:
Fuzzy control strategy of battery fast charging in regenerative braking for hybrid electric vehicles

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):
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

Keywords:

TP273
DOI:
10.3969/j.issn.1001-0505.2012.03.008

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.

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