在安时计量方法的基础上, 采用基于折算库仑效率的卡尔曼滤波算法估计蓄电池荷电状态(SOC),并
将此方法应用于 HEV6580混合动力电动汽车镍氢电池管理系统。系统实现的功能包括: 数据监测、数据显示、CAN
通信、SOC估计、热管理和安全报警。经电池试验台模拟工况试验验证, 电池管理系统各子系统达到设计要求且工
作稳定。改进 SOC估计方法解决了传统安时计量法不能估计初始 SOC、难于准确测量库仑效率的问题, 为电池管
理系统稳定工作提供保证(Based on the counting method, using the Calman filter algorithm converting coulomb efficiency estimation based on state of charge (SOC), and
This method is applied to the Ni MH battery management system of HEV6580 hybrid electric vehicle. The functions of the system include: data monitoring, data display, CAN
Communication, SOC estimation, heat management and security alarm. The battery management system has been verified by the simulation test, and the subsystems of the battery management system meet the design requirements and work.
Make it stable. The improved SOC estimation method to solve the SOC, the initial coulombic efficiency are difficult to measure the traditional ampere hour measurement cannot be estimated for the battery tube
Providing guarantee for the stability of the system)