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主被动均衡电池管理系统设计
引用本文:阮观强,曹金良,符啸宇,郁长青,石雄飞. 主被动均衡电池管理系统设计[J]. 科学技术与工程, 2023, 23(34): 14609-14617
作者姓名:阮观强  曹金良  符啸宇  郁长青  石雄飞
作者单位:上海电机学院机械学院 上海;上海电机学院机械学院 上海;上海电机学院电子信息学院 上海
基金项目:上海市科委《面向青少年的智能汽车科普教育课程开发》项目资助(21DZ2304600);2021年国家车用超级电容器系统工程技术研究中心(2021NUSV001);2022年浦东新区科技发展基金产学研专项(未来车领域)PKX2022-W03;
摘    要:为了克服新能源汽车电池组在使用过程中内部单体电池充放电速率不一致问题,提出了一种基于现场可编程门阵列(field-programmable gate array,FPGA)的主被动均衡相结合的电池管理系统。该设计通过LTC6811电池采集芯片,将电压、电流、温度等数据传到FPGA进行容量估算。主控微控制单元(microcontroller unit,MCU)通过设置单体间荷电状态(state of charge,SOC)差值阈值,控制均衡电路中的回路开关的通断,使单体电池在不同容量差值时,进行不同的均衡策略。同时运用MATLAB/Simulink仿真软件搭建出核心主被动均衡电路模型,对电路的均衡方案进行仿真分析。仿真结果表明:通过采用主被动相结合的均衡策略,电池在充放电过程中均衡速度较单一均衡方式有明显的提升。可见通过主被动均衡结合的方式,能有效地提升电池均衡速度,改善电池使用效率。

关 键 词:主被动均衡  电池管理系统  现场可编程门阵列(field-programmable gate array,FPGA)  LTC6811
收稿时间:2022-10-17
修稿时间:2023-08-30

Design of active and passive balanced battery management system
Ruan Guanqiang,Cao Jinliang,Fu Xiaoyu,Shi Xiongfei,Yu Changqin. Design of active and passive balanced battery management system[J]. Science Technology and Engineering, 2023, 23(34): 14609-14617
Authors:Ruan Guanqiang  Cao Jinliang  Fu Xiaoyu  Shi Xiongfei  Yu Changqin
Affiliation:School of Mechanical Engineering,Shanghai Dianji University;School of Mechanical Engineering,Shanghai Dianji University;China College of Electronics and Information,Shanghai Dianji University;China;
Abstract:To address the issue of inconsistent charging and discharging rates among individual cells within battery packs during the operation of new energy vehicle battery packs, this paper proposes a battery management system based on FPGA that combines active and passive balancing. This design transmits data such as voltage, current, and temperature to the FPGA for capacity estimation through the LTC6811 battery acquisition chip. The main control MCU controls the on-off state of the loop switch in the balancing circuit by setting the SOC difference threshold between the cells, allowing each individual battery to implement different balancing strategies based on varying capacity differences. Furthermore, MATLAB/Simulink simulation software is used to create the core model of the active and passive equalization circuit, enabling simulation and analysis of the circuit''s equalization scheme. The simulation results indicate that by adopting the balance strategy that combines active and passive methods, the battery''s balance speed during the charging and discharging process significantly improves compared to using a single balancing method. This underscores the effectiveness of combining active and passive balancing in enhancing battery balancing speed and overall efficiency.
Keywords:active and passive balanced   battery management system   FPGA   LTC6811  
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