@inproceedings{d8a880a3db8c45219d0be7e5e3d856d6,
title = "Design of Optimal Controller for Parallel Hybrid Electric Vehicle Based on Shortest Path Algorithm",
abstract = "Increasing fuel price has forced automotive manufacturers to innovate in increasing fuel efficiency. Hybrid vehicles, especially Parallel Hybrid Electric Vehicle configuration have been proven to be able to improve fuel efficiency. The main key in term of fuel efficiency of hybrid vehicles is the controller of the Energy Management System (EMS) that manages the performance of the engine and motor so that the vehicle can work in the optimal working range. In this paper, the controller is designed by using shortest path algorithm to find control sequences with the most efficient cost to finish a drive cycle. Because the controller purposed in this paper is using open loop model, then this method can be used as a benchmark to be compared with another method. The result of this study is this method can be used to control EMS of parallel hybrid car efficiently.",
keywords = "Energy Management System, Hybrid Electric Vehicle, Parallel Hybrid, Plug-in Hybrid Electric Vehicle, Shortest Path",
author = "Pratama Mahadika and Aries Subiantoro",
year = "2019",
month = dec,
doi = "10.1109/ISRITI48646.2019.9034648",
language = "English",
series = "2019 2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "118--123",
editor = "Wibowo, {Ferry Wahyu}",
booktitle = "2019 2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019",
address = "United States",
note = "2nd International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2019 ; Conference date: 05-12-2019 Through 06-12-2019",
}