Abstract

The driving cycle of the vehicle is taken as the basis of the vehicle test, which plays an important role in improving vehicle performance and reducing energy consumption. Traditional fuel vehicles have been studied more in the current stage. Test conditions specifically for pure electric vehicles have been less studied. The data acquisition method of pure electric vehicle is studied and used to collect driving data. The driving cycle was established through the extraction and analysis of characteristic parameters. The research results can lay a foundation for the research of driving system optimization and energy consumption reduction of pure electric vehicles.

Highlights

  • With the aggravation of energy shortage and environmental pollution, electric vehicles have been vigorously promoted as an important means to reduce energy consumption and environmental pollution

  • Liu Z et al carried out research on the operation conditions of pickup trucks, and a method of synthesis from natural driving data was proposed [4]

  • Scientific driving cycle can lay an important foundation for optimization of driving system design, reduction of energy consumption and increase of driving range

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Summary

Introduction

With the aggravation of energy shortage and environmental pollution, electric vehicles have been vigorously promoted as an important means to reduce energy consumption and environmental pollution. Electric vehicles have been vigorously developed along with important significance such as energy security guarantee, automobile industry progress in China. It is used to determine vehicle pollutant emissions, fuel consumption, technology development assessments for new models, and traffic control risk testing. Millo F used NEDC and WLTP conditions as test cycles when designing and developing PHEV light commercial vehicles [1]. Amirjamshidi G and Roorda M J took the Toronto coastal area as an example, simulated the data of light, medium and heavy trucks in the morning traffic rush hour, adopted multi-objective genetic algorithm to calibrate the micro traffic simulation model, and developed a set of simulated driving cycles [2]. Scientific driving cycle can lay an important foundation for optimization of driving system design, reduction of energy consumption and increase of driving range. It is necessary to study the driving cycle of pure electric vehicles

Driving characteristic data acquisition
Driving characteristic parameter
Construction of Driving Cycle
Conclusions
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