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Intelligent Energy Management Systems for Electrified Vehicles: Current Status, Challenges, and Emerging Trends

Powertrain electrification has heightened the need for an energy management strategy, which has been a continuing concern in the development of electrified vehicles. The energy management control unit manages power flow between different energy sources in an electrified powertrain that directly affects vehicle performance. Developing an energy management strategy that is compatible with different real-world driving scenarios has opened a significant field of study for researchers. Recent advances and progress in intelligent control approaches have facilitated developing an intelligent energy management strategy. However, there are inadequate numbers of studies on the latest energy management strategies. The presented review paper aims to provide the requirements of intelligent energy management strategies as well as a new categorization of them into principle-based, data-driven, and composite 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.
- McMaster University Canada
reinforcement learning, TA1001-1280, powertrain architecture, Data-driven methods, Transportation engineering, intelligent energy management strategy, Transportation and communications, electric vehicles, HE1-9990
reinforcement learning, TA1001-1280, powertrain architecture, Data-driven methods, Transportation engineering, intelligent energy management strategy, Transportation and communications, electric vehicles, HE1-9990
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).19 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
