Energy optimal control strategy of PHEV based on PMP algorithm
type: Item
instance of: scholarly article
title: Energy optimal control strategy of PHEV based on PMP algorithm
zbMATH Open document ID: 1400.49050
DOI: 10.1155/2017/6183729
author: Tiezhou Wu
author: Yi Ding
author: Yushan Xu
published in: Journal of Control Science and Engineering
publication date: 2018-10-15T00:00:00Z
review text: Summary: Under the global voice of ``energy saving'' and the current boom in the development of energy storage technology at home and abroad, energy optimal control of the whole hybrid electric vehicle power system, as one of the core technologies of electric vehicles, is bound to become a hot target of ``clean energy'' vehicle development and research. This paper considers the constraints to the performance of energy storage system in Parallel Hybrid Electric Vehicle (PHEV), from which Lithium-ion battery frequently charges/discharges, PHEV largely consumes energy of fuel, and their are difficulty in energy recovery and other issues in a single cycle; the research uses Lithium-ion battery combined with Super-Capacitor (SC), which is hybrid energy storage system (Li-SC HESS), working together with Internal Combustion Engine (ICE) to drive PHEV. Combined with PSO-PI controller and Li-SC HESS internal power limited management approach, the research proposes the PHEV energy optimal control strategy. It is based on revised Pontryagin's Minimum Principle (PMP) algorithm, which establishes the PHEV vehicle simulation model through ADVISOR software and verifies the effectiveness and feasibility. Finally, the results show that the energy optimization control strategy can improve the instantaneity of tracking PHEV minimum fuel consumption track, implement energy saving, and prolong the life of lithium-ion batteries and thereby can improve hybrid energy storage system performance.
Mathematics Subject Classification ID: 49N90
Mathematics Subject Classification ID: 49K99
Mathematics Subject Classification ID: 93C30
Mathematics Subject Classification ID: 93C95
Mathematics Subject Classification ID: 93B40
zbMATH DE Number: 6954269
zbMATH Keywords: energy optimal control
zbMATH Keywords: hybrid electric vehicle power system
zbMATH Keywords: Lithium-ion battery
describes a project that uses: ADVISOR
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/6183729
OpenAlex ID: W2594109082
Wikidata QID: Q59145613
DBLP publication ID: journals/jocsae/WuDX17
description: scientific article; zbMATH DE number 6954269