Eco-Routing Algorithm for Energy Savings in Connected Vehicles Using Commercial Navigation Information

Author:

Rajakumar Deshpande Shreshta1,Bhagdikar Piyush1,Gankov Stanislav1,Rengarajan Sankar1,Sarlashkar Jayant1,Hotz Scott1,Bhattacharjya Shuvodeep1

Affiliation:

1. Southwest Research Institute

Abstract

<div class="section abstract"><div class="htmlview paragraph">Vehicle-to-everything (V2X) communication, primarily designed for communication between vehicles and other entities for safety applications, is now being studied for its potential to improve vehicle energy efficiency. In previous work, a 20% reduction in energy consumption was demonstrated on a 2017 Prius Prime using V2X-enabled algorithms. A subsequent phase of the work is targeting an ambitious 30% reduction in energy consumption compared to a baseline. In this paper, we present the Eco-routing algorithm, which is key to achieving these savings. The algorithm identifies the most energy-efficient route between an Origin-Destination (O-D) pair by leveraging information accessible through commercially available Application Programming Interfaces (APIs). This algorithm is evaluated both virtually and experimentally through simulations and dynamometer tests, respectively, and is shown to reduce vehicle energy consumption by 10-15% compared to the baseline over real-world routes. This paper describes the development, implementation, and validation of the algorithm.</div></div>

Publisher

SAE International

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Real-time Eco-Driving Algorithm for Connected and Automated Vehicles using Quadratic Programming;2024 IEEE Transportation Electrification Conference and Expo (ITEC);2024-06-19

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