| With the continuous development of the times and the continuous advancement of science and technology,automobiles are playing an increasingly important role in people's daily life and work.However,with the increase in the number of cars,environmental pollution,resource shortages,and traffic congestion have become increasingly serious.Therefore,in the global trend of promoting energy conservation and emission reduction,clean,envirorunentally friendly,pollution-free pure electric vehicles have once again entered people's horizons.In addition,with the continuous improvement of the degree of urbanization and the rapid development of urban logistics and distribution industries,the demand for urban logistics vehicles is expanding.Pure electric logistics vehicles have become the market's preferred models due to their advantages such as zero emissions and low energy consumption.Get the vigorous promotion and support of the country.The subject of this thesis comes firom the "Development and Design of Rear-drive Rear-drive Pure Electric Logistics Vehicle of 5.3 Meters" project of Fujian New Fuda Automobile Industry Co.,Ltd.Zhangzhou Branch.A rear-drive rear-drive pure electric logistics vehicle developed for the characteristics of logistics transportation.Its main work is to match and optimize the parameters of the power system of the target vehicle based on the design indicators of the pure electric logistics vehicle.Its main research contents are:(1)Investigate and analyze the road conditions of major cities in China,the characteristics of logistics vehicle transportation,and the structural layout,performance requirements,and evaluation indicators of pure electric logistics vehicles in this subject.(2)Based on the working characteristics of pure electric logistics vehicles,based on the requirements of the entire vehicle design index,detailed calculations and matching of the main components of its power system,such as drive motors and power batteries.(3)Using the ADVISR02002 simulation software platform,carry out secondary development of the rear-drive vehicle model and build a pure electric logistics vehicle simulation model based on this model.At the same time,according to the matching parameters,its main modules such as the vehicle module,the drive motor,and the power The script files of modules such as batteries and tires are redefined;then simulation tasks are set up to analyze and analyze the power and economic performance of pure electric logistics vehicles.(4)According to the simulation results,it can be known that all the indicators of the vehicle have met the requirements of the design indicators of the enterprise,but the driving mileage can be further improved.This paper proposes a multi-objective and multi-variable optimization scheme after comprehensively considering the components of the vehicle.,Select the maxinum variables of the maximum power of the motor,the speed ratio of the drive train,and the maximum battery capacity to optimize them with the dual goals of power and economy.ADVISOR and ISIGHT software are used to establish a joint simulation optimization model to optimize the parameters of the main components of the vehicle to improve the economy and power of the target vehicle.(5)Perform vehicle performance tests on target vehicles in accordance with test standards and methods prescribed by the state,including economic tests and dynamic tests,and comprehensively compare and analyze test results and simulation results with test data of the original vehicle.Through comparative analysis,it can be seen that the vehicle's economy and power can meet the performance index requirements of the target model.Global simulation of the power system parameters through joint simulation can effectively improve the vehicle's overall performance.It proves that the parameter matching of pure electric logistics vehicle and the joint simulation optimization of related parameters in this paper are reasonable and effective.This article takes the real vehicle as the research object,and conducts relevant research on the parameter matching and simulation optimization of the power system of the entire vehicle,which has certain theoretical reference value for the independent research and development of the future pure pure electric logistics vehicle. |
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