A new algorithm for eco-friendly path guidance focused on electric vehicles

The automobile industry is showing increasing interest in eco-friendly electric vehicles (EVs) with the aim of replacing vehicles that rely on traditional fossil fuels for energy. This study investigates the routing of an EV with maximum efficiency relative to the terrain. As EVs have poor climbing ability due to limitations associated with battery efficiency, this study determines the optimal route using 3D spatial information data and the slope of each link in the route. In the transportation field, the Bureau of Public Roads function classifies the shortest paths and optimizes paths. By adding slope-related variables, a new functional expression that includes weighting as a result of slope-related speed reduction is constructed, and a new functional expression system and network are built. As a result of assigning a route to optimize battery efficiency, the energy efficiency was improved by 7.84 km/kWh at an average speed of 70 km/h. The effectiveness was verified by comparing the total travel time and energy efficiency dif-ferences between the two methods. The proposed approach enables efficient transport and ultimately achieves the goal of green transportation with maximum energy efficiency. (c) 2021 Elsevier Ltd. All rights reserved.

Automated summary

This study investigates the optimal routing of electric vehicles by utilizing 3D spatial information data and considering the slope of each link in the route, resulting in improved energy efficiency. By assigning routes to optimize battery efficiency, the proposed approach achieved an energy efficiency improvement of 7.84 km/kWh at an average speed of 70 km/h, demonstrating its effectiveness in achieving the goal of green transportation.