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

Abstract

This paper proposes a state-of-the-art algorithm for a real time charging recommendation for an electric vehicle (EV) 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 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 (GUI) 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 state of charge (SoC).

Existing System

Driver alerting system using electric vehicles in real time under dynamically varying environmental conditions.

Proposed System

This paper proposes an improved model of a real-time range indicator system which takes into consideration various environmental factors in real time such as wind speed and wind direction, elevation profile, probability of the rain, time of the day, cabin and ambient temperatures, and dynamic vehicle weight. A smart data collection code is used to extract all the necessary data in real time using wireless internet connection from different sources in the internet, such as the Google Map, weather information bureau, etc. The GUI is then linked with the proposed real-time range indicator system to create a graphical view of the results along a selected route. An intelligent recommendation system is added to the range indicator system to alert the driver when the destination is beyond the estimated range of the electric vehicle (based on the initial charging condition and the driving pattern so far). The charging recommendation algorithm will then tell the driver which station is the best one to charge the battery in terms of distance based on the information of the available charging stations in the area obtained from GPS. The proposed charging recommendation system will also provide the charging time to reach the destination (including some margin), to reduce the time required to have the EV fully charged. It is envisaged that as EV becomes more popular, more charging stations will be made available by local governments and private entities.

Architecture

The framework of the real-time range indicator system with charging recommendation system