Accurate Monitoring and Simulation of the Power Battery Charge State of New Energy Vehicles
The state of charge of the power battery of new energy vehicles is a key factor affecting the energy con-sumption and life of the battery.Due to the design of combined batteries,the difference in energy storage during the charging and discharging of single batteries may lead to large internal noise and increase difficulty in monitoring the state of charge.Therefore,this paper presented a method of monitoring SOC combining discrete distribution with linear decision.Firstly,a model of battery power was built,and then the parameters that did not conform to the linear change were judged as noise values.Combined with the time-varying recurrence law of noise,the adaptive filtering algorithm was adopted to filter out the noise values with large fluctuations.Secondly,the equivalent circuit model of the SOC variation of power battery was constructed.Meanwhile,the linear changes of resistance,voltage,current and capaci-tance in the model were calculated during each charge-discharge process.Moreover,an observation function was de-signed to analyze the change between various kinds of power as well as the state of charge in a unified way.Finally,the monitoring for SOC data was completed.Experimental results show that the state of charge is in concordance with the test result,indicating that the proposed method has high monitoring accuracy and strong ability to monitor the in-ternal current change of the battery.
New-energy vehiclesState of charge(SOC)Adaptive filtering algorithmCorrection functionEquiv-alent-circuit model
NETL
NSTL
万方数据
维普
