Electric vehicle range prediction estimator (EVPRE)

被引：2

作者：

Shamma, Zarin Subah ^{[1
]}

Jones, Bridger ^{[1
]}

Clark, Max ^{[1
]}

Bailey, Carter ^{[1
]}

Harper, Mario ^{[1
]}

机构：

[1] Utah State Univ, Logan, UT 84322 USA

来源：

SOFTWARE IMPACTS | 2022年 / 13卷

关键词：

Electric vehicle; Route generation; Optimal planning; Energy optimal; Battery health;

D O I：

10.1016/j.simpa.2022.100369

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The EVPRE software is a high resolution energy optimal routing and range prediction tool for electric Vehicles (EV). Users are able to quickly add characteristics of their EV systems to obtain reliable estimates of power consumption and see ideal range limits that maintain optimal battery health. These range and optimal routes are calculated using several models tested in hardware experiments. Interactive visualizations inform users on ideal energy-efficient routes and ranges based on specific locations, elevation changes, and real-time traffic

引用

页数：4

共 6 条

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Varga, Bogdan Ovidiu
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