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Energies 2015, 8(9), 9049-9063; doi:10.3390/en8099049

Optimal Rule-Based Power Management for Online, Real-Time Applications in HEVs with Multiple Sources and Objectives: A Review

Chair of Dynamics and Control, University of Duisburg-Essen, Lotharstr. 1, Duisburg 47057, Germany
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Author to whom correspondence should be addressed.
Academic Editor: Enrico Sciubba
Received: 25 June 2015 / Revised: 10 August 2015 / Accepted: 17 August 2015 / Published: 26 August 2015
(This article belongs to the Special Issue Applied Energy System Modeling 2015)
View Full-Text   |   Download PDF [157 KB, uploaded 26 August 2015]   |  

Abstract

The field of hybrid vehicles has undergone intensive research and development, primarily due to the increasing concern of depleting resources and increasing pollution. In order to investigate further options to optimize the performance of hybrid vehicles with regards to different criteria, such as fuel economy, battery aging, etc., a detailed state-of-the-art review is presented in this contribution. Different power management and optimization techniques are discussed focusing on rule-based power management and multi-objective optimization techniques. The extent of rule-based power management and optimization in solving battery aging issues is investigated along with an implementation in real-time driving scenarios where no pre-defined drive cycle is followed. The goal of this paper is to illustrate the significance and applications of rule-based power management optimization based on previous contributions. View Full-Text
Keywords: rule-based power management; optimization; hybrid electric vehicles rule-based power management; optimization; hybrid electric vehicles
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Moulik, B.; Söffker, D. Optimal Rule-Based Power Management for Online, Real-Time Applications in HEVs with Multiple Sources and Objectives: A Review. Energies 2015, 8, 9049-9063.

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