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Research On Parameter Matching Of Pure Electric Vehicle Based On Battery Dynamic Characteristics

Posted on:2017-01-11Degree:MasterType:Thesis
Country:ChinaCandidate:J T CuiFull Text:PDF
GTID:2272330482482410Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
To deal with the environment pollution and energy crisis, many countries have begun to developed new energy vehicles. The pure electric vehicles become hotspot in the field of new energy vehicles with the advantages of zero emission, high efficiency and simple structure. In the current level of technology, it is an efficient way to improve the vehicle economy performance through rational parameters matching of the pure electric vehicle. As an important component of the pure electric vehicle, the dynamic characteristics of battery have significant influence on the dynamic characteristics of other component and vehicle performance. Therefore, this paper provides theoretical and data support for power system parameters matching, based on experimental and theoretical analysis of battery dynamic characteristics.This thesis is constructed by following several parts: firstly, this paper analyzed the background of the development of pure electric vehicles and the development of the power battery of the pure electric vehicle, the status of power system parameters matching research on pure electric vehicles are summarized. Secondly, the dynamic characteristics of battery, as the key components of pure electric vehicles, were studied by theoretical analysis and test, including open circuit voltage, internal resistance, capacity, peak power performance and cycle life characteristics. Then, a vehicle dynamics simulation platform was established based on Advisor software, together with the analysis of characteristics of various parts of the vehicle. The simulation platform will lay the foundation for power system parameters optimization. Based on the vehicle performance requirements and battery characteristics analysis, power system parameters were completed to meet the vehicle performance and economy targets. Finally, according to the optimization constraints, this thesis uses PSO algorithm to optimize the power system parameters on the vehicle simulation platform, finding the optimal power system parameters combination with long mileage and low energy consumption rate.This paper completed the work of a pure electric vehicle power system parameters matching, based on the study of the battery dynamic characteristics. The study of dynamic performance of the battery provides the data support and theoretical basis for the power matching computation and battery modeling and simulation. It has great significance for improving the accuracy of the power system matching.
Keywords/Search Tags:EV, battery, parameter matching, optimization, PSO algorithm
PDF Full Text Request
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