6533b831fe1ef96bd1299043
RESEARCH PRODUCT
Predictive Energy Management for Hybrid Vehicles Based on Driving Cycle Recognition
Loïc JoudDaniela ChrenkoAlan KeromnesLuis Le MoyneRui Da Silvasubject
Optimizationbusiness.product_categorySeries (mathematics)Energy managementComputer science020209 energymedia_common.quotation_subjectEnergy managementVehicles02 engineering and technologyFuelsDynamic programming7. Clean energyAutomotive engineeringCorrelationDynamic programmingBatteries[SPI]Engineering Sciences [physics]Electric vehicle0202 electrical engineering electronic engineering information engineeringQuality (business)businessDriving cyclemedia_commondescription
International audience; This article presents a novel approach to design an optimum energy management for a series plug-in hybrid electric vehicle based on driving cycle recognition. Thanks to an intensive study of driver habits, an important part of cycles is predictable. Optimized energy management can be developed for representative cycles via DP. Those results can be applied to the same cycle with slight adaptations thereafter with quality factors above 98%.
year | journal | country | edition | language |
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2017-12-11 |