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Parameter Matching And Energy Management Of Extended Range Electric Vehicle Considering Battery Life

Posted on:2019-11-29Degree:MasterType:Thesis
Country:ChinaCandidate:X J LuFull Text:PDF
GTID:2382330545957092Subject:Vehicle engineering
Abstract/Summary:PDF Full Text Request
As the best form of the transition from the traditional car to the pure electric vehicle,the Extended Range Electric Vehicle(EREV)is considered to be one of the most promising new energy vehicles at this stage.Adding a small Auxiliary Power Unit(APU)system on a pure electric vehicle as an addendum can effectively prolong the driving range of the pure electric vehicle and solve the "range anxiety" problem.In the EREV,the parameter matching of the power system and the formulation of the energy management strategy are important parts of the vehicle development.The parameters matching relation between the power battery and the APU,the whole vehicle energy management strategy,etc.All have important influence on the fuel consumption,power consumption,and battery aging of the vehicle.This paper focuses on this analysis,and uses an extension program as an example to analyze the power system parameters and energy management strategies for the whole vehicle power consumption,fuel consumption and battery aging.In turn,the analysis results can provide reference for the parameter matching and energy management strategy of power system,which is the focus of this paper.Based on MATLAB/Simulink and Autolion,this paper establishes the vehicle model of the target vehicle,and analyzes the parameter matching and energy management strategy of the vehicle.This article according to the user's different needs of pure electric driving range,the target vehicle's pure electric driving range is divided into different levels,and parameters are matched.Through the simulation analysis of the target vehicles configured with different cruising range parameters,the results show that the power consumption of the vehicle is not positively correlated with the driving range,and the power consumption of the entire vehicle is not positively related to the vehicle weight.The study found that for electric vehicles,not only the energy consumption should be considered from the perspective of the vehicle weight,but also the energy loss caused by the internal resistance of the battery should be taken into account.Subsequently,this paper also assumes that weight reduction will be carried out on the vehicle body through lightweight technology,and analysis of the 100 kilometer power consurmption and battery aging of the entire vehicle under different body weights.The analysis results show that there is a relationship between body weight and battery aging.Based on simulation data,the relationship between body quality and battery ageing is fitted in this paper.This result can provide guidance for the OEM to quickly design the battery capacity after weight reduction.Based on the results obtained by data fitting,this article uses 200,000 kilometers as the mileage of the target vehicle's entire life cycle.The pure electric cruising range,battery energy density,body weight,battery price,and electricity price are the impact of the entire life cycle cost of the vehicle.Factors,and analysis of the sensitivity of different impact factor parameters on the entire life cycle cost of the vehicle,so that the impact of different parameters on the life cycle cost can be quantified,which can be used to guide the OEM's parameter design and cost matching of the vehicle.At the same time,this article also analyzes the effect of APU system parameters on battery aging,and the analysis results can guide the design of the APU system in the OEM.Finally,the simulation research and comparative analysis.of the traditional energy management strategy control effects are carried out in this paper.The effects of thermostat-type and power-following energy management strategies on the vehicle power consumption,fuel consumption,and battery aging are obtained.At the same time,the influence of different control parameters under the same control strategy on the performance of the whole vehicle is analyzed.The analysis results can provide the design basis for the formulation of the energy management strategy of the OEM.
Keywords/Search Tags:Parameter matching, Energy management strategy, Battery aging, The whole life cycle, Extended range electric vehicle
PDF Full Text Request
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