An Intelligent Driver Alerting System for Real-Time Range Indicator Embedded in Electric Vehicles

被引：19

作者：

Sarrafan, Kaveh ^{[1
]}

Muttaqi, Kashem M. ^{[1
]}

Sutanto, Danny ^{[1
]}

Town, Graham E. ^{[2
]}

机构：

[1] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW 2522, Australia

[2] Macquarie Univ, Dept Engn, Sydney, NSW 2109, Australia

来源：

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2017年 / 53卷 / 03期

基金：

澳大利亚研究理事会;

关键词：

Charging recommendation system; electric vehicle (EV); energy management; real-time range estimation model; state-of-charge (SoC) estimation;

D O I：

10.1109/TIA.2017.2658538

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper proposes a state-of-the-art algorithm for a real-time charging recommendation for an electric vehicle driver based on an accurate real-time range indicator system to avoid range anxiety. The charging recommendation algorithm alerts the driver when charging is deemed required for the selected route. This algorithm determines the nearest charging location obtained using GPS based on an accurate estimation of state of charge (SoC) at the destination and when charging determines the optimum charging time required by the battery to have sufficient energy to reach the destination. The graphical user interface of the real-time range indicator system is also used to show the driver an accurate estimation of the remaining range to destination and the current SoC. The results from simulations of a range of routes validate the proposed algorithm.

引用

页码：1751 / 1760

页数：10

共 27 条

[1] Trajectory Estimations Using Smartphones [J].