Design of Optimal Controller for Parallel Hybrid Electric Vehicle Based On Shortest Path Algorithm

Autor:	Pratama Mahadika, Aries Subiantoro
Rok vydání:	2019
Předmět:	business.product_category business.industry Computer science Open-loop controller Automotive industry ComputerApplications_COMPUTERSINOTHERSYSTEMS Automotive engineering Control theory Electric vehicle Shortest path problem Benchmark (computing) Fuel efficiency business Driving cycle
Zdroj:	2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI).
DOI:	10.1109/isriti48646.2019.9034648
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8d7d125e1ad8237cf23abdae9aa23b92 https://doi.org/10.1109/isriti48646.2019.9034648 Zobrazit plný text záznamu