摘要
针对车载铅酸蓄电池存在过充放电进而导致使用寿命、容量降低和充电时间较长的问题,提出基于电池剩余电量(SOC)预测和模糊控制算法相结合的方法,并且在将铅酸蓄电池剩余电量维持在健康范围内的约束条件下,实现车载蓄电池高效、快速、安全的智能充电。首先通过建立电池的SOC预测模型,根据模糊算法设计了智能充电控制器,其次设计了基于Buck电路拓扑和模糊控制器的蓄电池智能充电拓扑,并通过搭建Simulink进行仿真,最终验证在蓄电池保证健康剩余电量的情况下,智能充电曲线符合马斯充电曲线,实现对于蓄电池快速、安全的充电,有利于蓄电池的健康使用。
In order to solve the problem of overcharge and overcharge in automotive lead-acid batteries,which leads to the problems of service life,capacity reduction and long charging time,this paper proposes a method based on SOC estimation and fuzzy control algorithm.Electricity is maintained within the constraints of the healthy range,to achieve efficient,fast and safe charging of car battery.First of all,the battery SOC prediction model is established,and the intelligent charging controller is designed according to the fuzzy algorithm.Secondly,the battery intelligent charging topology based on Buck circuit topology and fuzzy controller is designed and simulated by building Simulink.Finally,in the case of healthy remaining power,intelligent charging curve in line with Massey charging curve,to achieve fast,safe charging of the battery is conducive to the healthy use of batteries.
出处
《长春工业大学学报》
CAS
2017年第6期566-572,共7页
Journal of Changchun University of Technology
基金
长春工业大学与中国第一汽车股份有限公司技术中心合作项目(W65-GNZX-2016-0009)
