Design and implementation of power battery charging and discharging detection system

doi:10.12028/j.issn.2095-4239.2018.0119

Abstract

Abstract: The power battery safety problem brought about by the rapid growth of electric vehicles has become the focus of the industry. The rapid safety inspection of power batteries has become the demand of the current market. This paper designs a power battery charge and discharge detection system based on bidirectional inverter hardware module and C#.NET host computer software module. The system is tested for electric vehicle power batteries and second use batteries, which are characterized by rapid detection and in-depth inspection. The rapid performance shows that the battery pack insulation safety and monomer consistency are detected within two minutes, and it obtains the distribution map of opening circuit voltage (OCV) of battery cells and direct current (DC) internal resistance to quickly diagnose the battery consistency problem according to the DC internal resistance detection module. The data of each detection module finally generates an electronic test report and is saved in Excel format for further analysis as well. The system is reliable and can provide a reference for the promotion and application in the field of energy storage.

Key words: electric vehicle power battery, power battery charge and discharge detection system, C#.NET, rapid detection

CLC Number:

TM911

HUANG Saijie, XU Min, ZHENG Xiaolu, YAN Xiao, HUANG Bixiong. Design and implementation of power battery charging and discharging detection system[J]. Energy Storage Science and Technology, 2019, 8(1): 146-154.

References

[1] 于保军, 于文函, 孙伦杰, 等. "十三五"我国纯电动汽车战略规划分析[J]. 汽车工业研究, 2018(2):40-48. YU Baojun, YU Wenhan, SUN Lunjie, et al. "13th Five-Year" strategic planning analysis of pure electric vehicles in China[J]. Auto Industry Research, 2018(2):40-48.
[2] 崔源, 徐增勇. 电动汽车动力电池现状分析[J]. 产业与科技论坛, 2016, 15(24):80-81. CUI Yuan, XU Zengyong. Current status of power battery for electric vehicle[J]. Industrial & Science Tribune, 2016, 15(24):80-81.
[3] 刘坚. 电动汽车退役电池储能应用潜力及成本分析[J]. 储能科学与技术, 2017, 6(2):243-249. LIU Jian. Second use potential of retired EV batteries in power system and associated cost analysis[J]. Energy Storage Science and Technology, 2017, 6(2):243-249.
[4] NEPCS-30(H)光储一体机用户手册[R]. 成都:四川科陆新能电气有限公司, 2010. NEPCS-30(H) optical storage machine user manual[R]. Chengdu:Sichuan Kelu New Energy Electric Co., Ltd., 2010.
[5] 高性能单/双通道以太网转CAN转换器用户手册[R]. 广州:广州致远电子股份有限公司, 2015. High performance single/dual channel Ethernet to CAN converter user manual[R]. Guangzhou:Guangzhou Zhiyuan electronic Limited by Share Ltd,, 2015.
[6] 国家863中部软件孵化器编著. C#从入门到精通第2版[M]. 北京:人民邮电出版社, 2015. State 863 central software incubator. C# from entry to master[M]. 2nd ed. Beijing:People Post and Telecommunications Press, 2015.
[7] 王海燕. C#.NET下三层架构数据库应用系统开发[J]. 计算机技术与发展, 2012, 22(6):78-81. WANG Haiyan. Implementation of database application system based on C#.NET three-tier architecture[J]. Computer Technology and Development, 2012, 22(6):78-81.
[8] 杨更更. MODBUS软件开发实战指南[M]. 北京:清华大学出版社, 2017:53-59. YANG Genggeng. MODBUS software development guide[M]. Beijing:Tsinghua University Press, 2017:53-59.
[9] 杨春杰, 王曙光, 亢红波. CAN总线技术[M]. 北京:北京航空航天大学出版社, 2010. YANG Chunjie, WANG Shuguang, KANG Hongbo. CAN bus technology[M]. Beijing:Beihang University Press, 2010.
[10] 冯进, 丁博, 史殿习, 等. XML解析技术研究[J]. 计算机工程与科学, 2009, 31(2):120-124. FENG Jin, DING Bo, SHI Dianxi, et al. XML, research on the XML parsing technology[J]. Computer Engineering & Science, 2009, 31(2):120-124.
[11] 中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. 电动汽车安全要求第3部分:人员触电防护:GB/T 18384.3-2015[S]. 北京:中国标准出版社, 2015. General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China. Electrically propelled road vehicle-Safety specitications-Part 3:Protection of persons against electric shock[S]. Beijing:Standards Press of China, 2015.
[12] 邓晔, 胡越黎, 滕华强. 锂电池开路电压的预估及SOC估算[J].仪表技术, 2015(2):21-24. DENG Ye, HU Yueli, TENG Huaqiang. Open-circuit Voltage prediction and SOC estimation of Li-ion battery[J]. Instrument Technology, 2015(2):21-24.
[13] 邓涛, 孙欢. 锂离子电池新型SOC安时积分实时估算方法[J]. 重庆理工大学学报(自然科学版), 2015, 29(1):101-106. DENG Tao, SUN Huan. Research on real time estimation method of new SOC ampere hours integral for lithium ion[J]. Journal of Chongqing University of Technology (Natural Science), 2015, 29(1):101-106.
[14] 徐晓东, 刘洪文, 杨权. 锂离子电池内阻测试方法研究[J]. 中国测试, 2010, 36(6):24-26. XU Xiaodong, LIU Hongwen, YANG Quan. Study on impedance measurement about lithium ion batteries[J]. China Measurement & Test, 2010, 36(6):24-26.
[15] VLADIMIRS Karevs, MAREKS Mezitis, JULIJA Freimane. High precision estimation of internal resistance of battery[J]. Procedia Computer Science, 2017, 104:346-353.