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- W4207079181 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." @default.
- W4207079181 created "2022-01-26" @default.
- W4207079181 creator A5059874030 @default.
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- W4207079181 date "2022-01-23" @default.
- W4207079181 modified "2023-10-14" @default.
- W4207079181 title "Energy Management Strategy for Plug-In Hybrid Electric Vehicles Based on Driving Condition Recognition: A Review" @default.
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- W4207079181 doi "https://doi.org/10.3390/electronics11030342" @default.
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