摘要
对铅酸电池化学性质及目前一些剩余容量在线测量系统进行研究,以提高剩余容量检测精度为目标,设计了一种以DSP为控制核心,并结合BP神经网络算法的剩余容量在线检测系统.实验证明:由于DSP运算速度快、功耗低、存储量大等优点,所以该系统能准确地模拟铅酸电池的充放电特性,为驾驶员提供有效的续驶里程和剩余电量信息.
According to the research of lead-acid battery chemical property and measurement system of state of charge online and for the purpose of increasing the examination precision of SOC, this paper designs a SOC online detecting system based on DSP control core and combined with the BP neural networks algorithm. The experiment proves that because DSP has some merits such as high speed, large memory capacity and low power consumption, this system can simulate the charging and discharging characteristic of the acid - lead accurately, providing a continued range and information of the SOC for drivers.
出处
《重庆工学院学报（自然科学版）》
2009年第10期53-56,共4页
Journal of Chongqing Institute of Technology
基金
重庆市教委应用基础项目(KJ060606)
