Intelligent Control Technology of Charge and Discharge for Ni-MH Battery of Electric Vehicles

Abstract

Abstract: The Ni-MH battery is the power source of electric vehicles (EV) and plays a decisive role in the power performance. The charge and discharge control principle of Ni-MH battery used in EV is introduced. The whole construction and function flow of monitor and control for Ni-MH battery of EV are presented. The charge and discharge control arithmetic is investigated so that the Ni-MH energy of the EV may be consumed reasonably. After the investigation of the charge and discharge characteristic curves of Ni-MH battery, the effects of the charge and discharge voltage, current and battery temperature on the capacity are also analyzed. The experimental results show that the control system can make energy utilization increase by more than 20 percent, and it features strong self-adaptive ability and reliable operation, and moreover, the battery life prolonged remarkably.

Key words: Charge and discharge, Electric vehicle(EV), Energy management, Intelligent control, Ni-MH battery

CLC Number:

U 482. 3

XIE Qinghua;LU Yong;ZHANG Qi. Intelligent Control Technology of Charge and Discharge for Ni-MH Battery of Electric Vehicles[J]. , 2008, 44(8): 185-189.

[1]	DENG Jianxin, YUAN Bangyi, HUANG Qiulin, DING Dukun, XIN Manyu, LIU Guangming. Review on the Key Technologies of Complex Surfaces Polishing Based on Robots [J]. Journal of Mechanical Engineering, 2024, 60(7): 1-21.
[2]	GAO Kai, LUO Pan, XIE Jin, HU Lin, CHEN Bin, DU Ronghua. Hybrid Electric Vehicle Speed Profile Prediction Based on Data Fusion [J]. Journal of Mechanical Engineering, 2024, 60(6): 342-353.
[3]	ZHANG Xiaojun, WU Yaqi, LIU Haoxue, ZHONG Daofang. Design and Analysis of Wheel-footed Magnetic Adsorption Wall-climbing Robot with Passing Obstacles Capability [J]. Journal of Mechanical Engineering, 2024, 60(1): 248-261.
[4]	WEI Xiao-dong, SUN Chao, LIU Bo, HUO Wei-wei, REN Qiang, SUN Feng-chun. Co-optimization of Vehicle Speed and Energy for Fuel Cell Vehicles [J]. Journal of Mechanical Engineering, 2023, 59(8): 204-212.
[5]	GAO Fengyang, ZHANG Haoran. Adaptive Instantaneous Equivalent Energy Consumption Optimization of Jydrogen Fuel Cell Hybrid Electric Tram [J]. Journal of Mechanical Engineering, 2023, 59(6): 226-238.
[6]	GAO Fengyang, ZHANG Haoran, WANG Wenxiang, LI Mingming. Energy Management Strategy of Modern Tram Based on the Combination of Rule Control and Driving Conditions [J]. Journal of Mechanical Engineering, 2023, 59(4): 221-231.
[7]	JIN Xianqiu, LEI Tao, MIN Zhihao, SONG Lina, ZHANG Xingyu, ZHANG Xiaobin. Strategies of Energy Optimal Management for Distributed Hybrid Electrical Propulsion Aircraft [J]. Journal of Electrical Engineering, 2023, 18(3): 315-331.
[8]	WANG Yuefei, WANG Zhi, SUN Rui, WANG Chao, XIAO Kai, PAN Bin. Equivalent Emission Minimization Strategy of Intelligent Connected HEV Based on Multi-step Prediction of Driving Intention [J]. Journal of Mechanical Engineering, 2023, 59(18): 271-282.
[9]	ZHANG Zuoqian, WU Hongfei, YANG Fan, DU Yiru, YU Haitao, LIU Yue, XING Yan. Overview of Key Technologies for Independent Power Supply Systems with High Peak-to-average Ratio Pulse Power Loads [J]. Journal of Electrical Engineering, 2023, 18(1): 43-55.
[10]	HUANG Yonggang, LEI Wenqian, CHEN Wei, WANG Qi, YU Hua. Self-powered Wireless Online Monitoring System for Electric Transmission Lines [J]. Journal of Mechanical Engineering, 2022, 58(20): 83-91.
[11]	HONG Yan, ZHOU Long, ZHANG Jun, LI Xiangjun, WANG Xiangjin, MA Yuhan, ZHENG Yuejiu. Study on Mechanical Pressure Characteristics of Charge and Discharge of Lithium-ion Battery [J]. Journal of Mechanical Engineering, 2022, 58(20): 410-420.
[12]	ZHANG Yun, WEI Yihang, LIU Qiangqiang, KONG Zhiguo. Integrated Scheme of Charging/discharging for Parking Multi Energy Sources Electric Vehicles Based on Wide Voltage-gain Range Bidirectional DC-DC Converters [J]. Journal of Electrical Engineering, 2022, 17(2): 101-109.
[13]	CHEN Ling, CHEN Zhengping, LI Junliang, MI Weimin, LIU Mingyang. Real-time Energy Management Strategy for Micro-grid Clusters Based on Deep Convolutional Neural Network and Cooperative Game [J]. Journal of Electrical Engineering, 2022, 17(2): 215-225.
[14]	ZHANG Han, YANG Jibin, ZHANG Jiye, XU Xiaohui. Cooperative Optimization for Fuel Cell Tram Energy Management and Speed Profile [J]. Journal of Mechanical Engineering, 2022, 58(10): 169-179.
[15]	MENG Boyang, LI Maoyue, LIU Xianli, WANG Lihui, LIANG S Y, WANG Zhixue. Research Progress on the Architecture and Key Technologies of Machine Tool Intelligent Control System [J]. Journal of Mechanical Engineering, 2021, 57(9): 147-166.

Intelligent Control Technology of Charge and Discharge for Ni-MH Battery of Electric Vehicles

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments