Performance Prediction for an Electric Vehicle

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) Pub Date : 1900-01-01 DOI:10.1109/ROBOMECH.2019.8704770

C. Landman, A. Rix

{"title":"Performance Prediction for an Electric Vehicle","authors":"C. Landman, A. Rix","doi":"10.1109/ROBOMECH.2019.8704770","DOIUrl":null,"url":null,"abstract":"This article focusses on the modelling of an electric vehicle (EV) as well as the development of an algorithm that suggests optimal driving speeds to the user, knowing the power available from the batteries. This is done to ensure that the destination is reached in the shortest possible time and to help ease the range anxiety of the driver. The platform for the modelling and algorithm development is Python. Factors such as road angle, distance and speed will serve as parameters for the modelled EV. The model is able to return the power, torque and energy requirements to complete a specific route within a specific time. Knowing the energy requirements, the algorithm that suggests optimal driving speeds was developed. Investigations was done to determine the influence of different factors, such as tyre pressure and air temperature, on the power and energy requirements. A 2016 Nissan Leaf was modelled in this article.","PeriodicalId":344332,"journal":{"name":"2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBOMECH.2019.8704770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

This article focusses on the modelling of an electric vehicle (EV) as well as the development of an algorithm that suggests optimal driving speeds to the user, knowing the power available from the batteries. This is done to ensure that the destination is reached in the shortest possible time and to help ease the range anxiety of the driver. The platform for the modelling and algorithm development is Python. Factors such as road angle, distance and speed will serve as parameters for the modelled EV. The model is able to return the power, torque and energy requirements to complete a specific route within a specific time. Knowing the energy requirements, the algorithm that suggests optimal driving speeds was developed. Investigations was done to determine the influence of different factors, such as tyre pressure and air temperature, on the power and energy requirements. A 2016 Nissan Leaf was modelled in this article.

查看原文本刊更多论文

电动汽车的性能预测

本文重点介绍了电动汽车(EV)的建模以及一种算法的开发，该算法可以在了解电池可用功率的情况下向用户建议最佳驾驶速度。这样做是为了确保在最短的时间内到达目的地，并帮助缓解驾驶员的里程焦虑。建模和算法开发的平台是Python。道路角度、距离和速度等因素将作为模型电动汽车的参数。该模型能够返回在特定时间内完成特定路线所需的功率、扭矩和能量。在了解了能量需求后，开发了建议最佳驾驶速度的算法。进行了调查，以确定不同因素，如轮胎压力和空气温度，对动力和能源需求的影响。本文以2016款日产Leaf为模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA)

自引率

0.00%

发文量