Eco-Routing Navigation System for Electric Vehicles

TL;DR

This paper presents an eco-routing navigation system for electric vehicles that calculates energy-efficient routes, demonstrating up to 51% energy savings compared to traditional navigation methods.

Contribution

The study introduces a real-time energy consumption estimation algorithm and a prototype system that significantly reduces EV energy use during travel.

Findings

Achieved up to 51% energy reduction with the proposed system.

Validated the accuracy of energy consumption measurements.

Demonstrated real-time applicability of the routing algorithm.

Abstract

The goal of this project is to determine the feasibility of calculating a travel route for an electric vehicle (EV) that will require the least amount of energy for the trip, and thus extending the range of the EV. To achieve this goal, the research team set up several objectives, including 1) to demonstrate the accuracy of measurements from the data acquisition system; 2) to demonstrate the validity of the proposed algorithm in estimating energy consumption of the test EV (2013 NISSAN LEAF) in real-time; and 3) to demonstrate the benefit from the prototype system in terms energy savings for the test EV. The results from the project show that the proposed system can fulfill the aforementioned objectives and provide up to 51% of energy reduction, compared with the conventional navigation strategies (i.e., shortest travel distance and least travel duration).