Energy Efficiency Analysis and Research of Pure Electric Vehicles under Actual Working Conditions

Author:

Liang Xiaoliang

Abstract

Pure electric vehicles are a hot topic in today’s social development. From beginning to end, the energy density of power batteries in pure electric vehicles is generally low, resulting in short range, inaccurate range estimation, and driver anxiety. This is also one of the reasons that hinder the promotion of pure electric vehicles. This article discusses the energy consumption of pure electric vehicles based on actual road tests. By comparing the battery energy efficiency of various roads (including urban roads, suburban roads, and highways) using electric vehicles from Guangzhou to Qingyuan, the energy consumption patterns of pure electric vehicles are analyzed. Experiments have shown that continuously improving the energy density of power batteries is the key technology to solve the problem of insufficient range for electric vehicles. Based on the existing power battery technology, this study investigates the relationship between energy consumption and various factors affecting electric vehicles, which can provide better reference for drivers to predict energy consumption and range.

Publisher

EDP Sciences

Reference10 articles.

1. Fault detection and classification in solar based distribution systems in the presence of deep learning and social spider method

2. Zhang H.,Cao H., Zhou Y., Gu C., Li D., “Hybrid deep learning model for accurate classification of solid waste in the society,” [J].Urban Climate,2023, No.101485.

3. Carlson R., Shirk M., Geller B., “Factors Affecting the Fuel Consumption of Plug-In Hybrid Electric Vehicles, ”[C].The 25th In-temational Battery, Hybrid and Fuel Cell Electric Vehi-cle Symposium & Exposition, 2018.

4. Zamparini Luca,Aura Reggiani.”Meta-Analysis and the Value of Travel Time Savings: A Transatlantic Perspective in Passenger Transport,”[J]. Networks and spatial economics,2017

5. Wang X., Guan C., Lin S., Cao H.,”Application of Intelligent Robot Inspection System in Power Transmission Project,”[C].ICBAIE 2022, pp. 49-52.

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