Construction of PHEV driving support system using GIS for optimal operation

Plug-in Hybrid Vehicles (PHEVs) have multiple driving modes, and it is possible to proper driving energy management by a combination of driving modes. In this research, the authors obtained driving data and made it possible to estimate the driving energy consumption for each driving mode. The authors focused on the difference in power generation efficiency depending on the driving road by driving the series hybrid mode. Therefore, pre-charging method on roads with high power generation efficiency was proposed for reducing fuel consumption. Finally, the PHEV energy management system using the Geographic Information System (GIS) was constructed to optimal energy consumption and driving cost by the combination of multiple driving modes. The authors showed that fuel consumption and driving cost are reduced compared to not using this system. (c) 2023 The Authors. Published by Elsevier Ltd. This is an open access article under theCCBYlicense (http://creativecommons.org/licenses/by/4.0/).

Automated summary

In this research, a PHEV energy management system was constructed using driving data and GIS technology to optimize energy consumption and driving cost. The study showed that pre-charging on roads with high power generation efficiency can reduce fuel consumption.