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Volume 11
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10.3390/electronics11030342
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Review

Energy Management Strategy for Plug-In Hybrid Electric Vehicles Based on Driving Condition Recognition: A Review

by
Chunna Liu
and
Yan Liu
*
School of Mechanical Engineering, Shandong University, No. 73 Jingshi Road, Jinan 250061, China
*
Author to whom correspondence should be addressed.
Electronics 2022, 11(3), 342; https://doi.org/10.3390/electronics11030342
Submission received: 27 December 2021 / Revised: 20 January 2022 / Accepted: 20 January 2022 / Published: 23 January 2022
(This article belongs to the Topic Optimisation, Optimal Control and Nonlinear Dynamics in Electrical Power, Energy Storage and Renewable Energy Systems)
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Abstract

Appropriate energy management strategies (EMSs) have been selected for plug-in hybrid electric vehicles (PHEVs) based on driving-condition recognition (DCR) according to the acquired driving information, so as to minimize the target parameters. With online control and offline optimization, the strategy is suitable for real-time applications and is of great significance to repetitive routes, owing to its simplicity and ease of implementation. This paper aims to identity the DCR-based EMSs, develop efficient EMSs, and invite researchers involved in this field to discover new solutions. This paper presents a comprehensive analysis of EMSs based on DCR in terms of principles, the scope of application as well as their advantages and disadvantages, and provides a thorough survey of the latest progress in EMSs. We concluded that DCR-based EMSs show an improvement in energy saving and the pollutant-discharging effect.
Keywords: PHEV; EMS; DCR PHEV; EMS; DCR

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MDPI and ACS Style

Liu, C.; Liu, Y. Energy Management Strategy for Plug-In Hybrid Electric Vehicles Based on Driving Condition Recognition: A Review. Electronics 2022, 11, 342. https://doi.org/10.3390/electronics11030342

AMA Style

Liu C, Liu Y. Energy Management Strategy for Plug-In Hybrid Electric Vehicles Based on Driving Condition Recognition: A Review. Electronics. 2022; 11(3):342. https://doi.org/10.3390/electronics11030342

Chicago/Turabian Style

Liu, Chunna, and Yan Liu. 2022. "Energy Management Strategy for Plug-In Hybrid Electric Vehicles Based on Driving Condition Recognition: A Review" Electronics 11, no. 3: 342. https://doi.org/10.3390/electronics11030342

APA Style

Liu, C., & Liu, Y. (2022). Energy Management Strategy for Plug-In Hybrid Electric Vehicles Based on Driving Condition Recognition: A Review. Electronics, 11(3), 342. https://doi.org/10.3390/electronics11030342

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