Intelligent Energy Management Systems for Electrified Vehicles: Current Status, Challenges, and Emerging Trends
Open Access
- 20 August 2020
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Open Journal of Vehicular Technology
- Vol. 1, 279-295
Abstract
By increasing the electrified vehicles trend, it is crucial to have a survey of what is done before and what is the open challenge for improving this industry. Powertrain electrification has heightened the need for an energy management strategy, which has been a continuing concern in the development of electrified vehicles. An energy management control unit manages power flow between different energy sources in an electrified powertrain that directly affects vehicle performance. There are inadequate numbers of studies on the most recent energy management strategies, which are compatible with real-world scenarios. Intelligent energy management strategies requirements are discussed in detail, and it is categorized to principle-based, data-driven, and composite-based methods. Besides, enabling technologies for implementing an energy management system with a comparison of different controller chips are described to give readers an experimental view. Future trends and existing challenges are presented, which generate fresh insight into energy management strategies.Keywords
Funding Information
- Natural Sciences and Engineering Research Council of Canada (NSERC), NSERC Industrial Research Chair in Electrified Powertrains
- Canada Research Chair in Transportation Electrification and Smart Mobility
This publication has 104 references indexed in Scilit:
- Energy management strategy for plug-in hybrid electric vehicles. A comparative studyApplied Energy, 2014
- A multi-level energy management system for multi-source electric vehicles – An integrated rule-based meta-heuristic approachApplied Energy, 2013
- A review of energy sources and energy management system in electric vehiclesRenewable and Sustainable Energy Reviews, 2013
- Usage of Metaheuristics in Engineering2013
- A comprehensive overview of hybrid electric vehicle: Powertrain configurations, powertrain control techniques and electronic control unitsEnergy Conversion and Management, 2011
- Flywheel energy and power storage systemsRenewable and Sustainable Energy Reviews, 2007
- Application of genetic algorithm for optimization of control strategy in parallel hybrid electric vehiclesJournal of the Franklin Institute, 2006
- General supervisory control policy for the energy optimization of charge-sustaining hybrid electric vehiclesJSAE Review, 2001
- Feature-based methods for large scale dynamic programmingMachine Learning, 1996
- Dynamic programming and principles of optimalityJournal of Mathematical Analysis and Applications, 1978