摘要
电池电量控制问题一直都是影响新能源汽车普及的重要因素。针对当前新能源汽车电池电量控制系统因电池数据采集能力不佳,导致电池电能均衡控制效果较差的问题,设计基于本地模块的新能源汽车电池电量控制系统。在系统硬件框架中增设本地模块,对中央控制器以及电池检测集成模块设备组成进行优化,为软件模块提供开发环境。使用卡尔曼滤波算法,增强电池剩余电量预测模块的计算精度。使用传递函数法对电池的工作状态进行分析,根据分析结果控制电池充放电过程,实现电池电量控制。构建系统测试环节,经多项测试结果证实,该系统的数据采集能力以及电池电能均衡控制效果均得到提升。
The problem of battery power control has always been an important factor affecting the popularization of new energy vehicles. Aiming at the problem that the current battery power control system of new energy vehicles has poor battery data acquisition ability,resulting in poor battery power balance control effect,a new energy vehicle battery power control system based on local modules is designed. Add local modules to the system hardware framework,optimize the equipment composition of the central controller and battery detection integrated module,and provide a development environment for software modules. The Kalman filter algorithm is used to enhance the calculation accuracy of the remaining battery power prediction module. The working state of the battery is analyzed using the transfer function method,and the battery charge and discharge process is controlled according to the analysis results to realize the battery power control. In the construction of the system test link,a number of test results have confirmed that the system’s data acquisition capability and battery power balance control effect have been improved.
作者
付蓉
胡玫
范静
FU Rong;HU Mei;FAN Jing(Lanzhou Institute of Technology,Lanzhou 730050,Gansu,China)
出处
《流体测量与控制》
2022年第2期60-63,共4页
Fluid Measurement & Control
关键词
本地模块
数据采集
新能源汽车
电池均衡
电池电量控制系统
分布式拓扑
local module
data acquisition
new energy vehicle
battery balance
battery power control system
distributed topology