Performance Prediction for an Electric Vehicle

被引：0

作者：

Landman, C. ^{[1
]}

Rix, A. J. ^{[1
]}

机构：

[1] Stellenbosch Univ, Dept Elect & Elect Engn, Bosman St, ZA-7600 Stellenbosch, South Africa

来源：

2019 SOUTHERN AFRICAN UNIVERSITIES POWER ENGINEERING CONFERENCE/ROBOTICS AND MECHATRONICS/PATTERN RECOGNITION ASSOCIATION OF SOUTH AFRICA (SAUPEC/ROBMECH/PRASA) | 2019年

关键词：

Electric vehicle; !text type='Python']Python[!/text; Power; Energy;

D O I：

10.1109/robomech.2019.8704770

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：538 / 543

页数：6

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