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Research On Parameter Matching Method Of Pure Electric Vehicle Power Battery Optimization System

Posted on:2020-01-16Degree:MasterType:Thesis
Country:ChinaCandidate:R JiaFull Text:PDF
GTID:2392330578972489Subject:Vehicle engineering
Abstract/Summary:PDF Full Text Request
With the development of new energy vehicles,the concept of environmental protection and energy conservation has been deeply rooted in the hearts of the people.At present,the main source of new energy vehicles is mainly chemical batteries.It is well known that the rapid discharge performance of chemical batteries is limited,and the rapid charging and discharging of large currents will greatly reduce their cycle life.The biggest advantage of ultracapacitor is that they have better fast charge and discharge capability and cycle life of more than one million times.Combining the advantages of both,it is possible to realize the "Battery-Ultracapacitor" power battery system for automobiles,improve the rapid charge and discharge performance,and improve the battery cycle life.In order to improve the cycle life of the automotive power battery system and the function of charging and charging during braking,this paper optimizes the automotive power battery system based on the basic idea of “Battery-Ultracapacitor”.Specifically,a very small amount of ultracapacitors are used as an auxiliary power source to protect the power battery,and the vehicle brake generates energy to be recharged to the ultracapacitor.It is used as a supplement to the power output power of the power battery to improve the acceleration performance of the vehicle.Based on this,according to the data of various driving conditions,the concept and principle of the confidence interval of the "probability event" of the vehicle brake are proposed,and the parameter matching method of the pure electric vehicle power battery optimization system is studied.Based on the randomness of brake event during the driving process of the vehicle,according to the statistical analysis and calculation of the driving condition of the vehicle,the large probability braking speed point of the vehicle is obtained,and the point is statistically compared and analyzed to verify the rationality.By establishing the vehicle braking energy transfer efficiency model and combining the large probability braking speed point,the auxiliary power supply capacity matching method is given.For the secondary development of the simulation software ADVISOR,set the ultracapacitor capacity parameters,develop a power control strategy for simulation experiments,and verify the effectiveness of the matching method.And compared with the single power simulation results,the ultracapacitors optimize the battery.
Keywords/Search Tags:pure electric car, power battery system optimization, ultracapacitor, driving condition, ADVISOR
PDF Full Text Request
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