基于大数据的电动汽车用户充电习惯分析及优化策略研究  

Analysis and Optimization Strategy Research on Electric Vehicle Users'Charging Habits based on Big Data

作　　者：张永 殷玉明 冯拓 龚春忠 沈羡玉 Zhang Yong;Yin Yuming;Feng Tuo;Gong Chunzhong;Shen Xianyu(Zhejiang University of Technology,Hangzhou 310000;NETA Zhihe New Energy Vehicle Technology(Shanghai)Co.,Ltd.,Shanghai 200000;Hozon New Energy Automobile Co.,Ltd.,Jiaxing 314000)

机构地区：[1]浙江工业大学,杭州310000 [2]哪吒智合新能源汽车科技(上海)有限公司,上海200000 [3]合众新能源汽车股份有限公司,嘉兴314000

出　　处：《中国汽车》2024年第6期3-8,共6页China Auto

摘　　要：用户的充电习惯直接影响电动汽车动力电池的使用寿命与整车能量消耗量。本文基于云平台采集的数据进行挖掘研究,对用户的充电习惯进行分析与评价。首先,对动力电池的储能原理进行说明;然后,研究整车续驶里程与用户充电习惯匹配设计,推导出不同用户的里程需求与充电习惯;最后,从云平台中抽取典型数据进行分析与评价。分析表明,有一部分用户需要进行充电习惯引导,整车续驶里程能力设计与部分用户的出行习惯不匹配,建议为用户量身定制充电计划。大数据分析在用户充电习惯评价分析中有重要的实际应用价值。The charging habits of users directly affect the service life and energy consumption of electric vehicle power batteries.This article is based on data collected from cloud platforms for mining research,analyzing and evaluating user charging habits.Firstly,explain the energy storage principle of power batteries;then,study the matching design between the driving range of the entire vehicle and the user's charging habits,and derive the mileage requirements and charging habits of different users;finally,typical data is extracted from the cloud platform for analysis and evaluation.Analysis shows that some users need guidance on charging habits,and the design of the vehicle's driving range capability does not match the travel habits of some users.It is recommended to provide customized charging plans for users.Big data analysis has important practical application value in evaluating and analyzing user charging habits.

关 键 词：电动汽车 动力电池 充电 大数据 用户习惯 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] U491[自动化与计算机技术—计算机科学与技术]