A-EMCS for PHEV based on real-time driving cycle prediction and personalized travel characteristics

DOI10.3934/MBE.2020333zbMath1472.62170OpenAlexW3088611701WikidataQ104619319 ScholiaQ104619319MaRDI QIDQ1979519

Pengyu Wang, Yuanbin Yu, Junyu Jiang, Jinke Li

Publication date: 3 September 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020333

zbMATH Keywords

dynamic programmingenergy managementadaptive equivalent consumption minimization strategydriving cycle predictionplug-in hybrid electric vehicle

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics in engineering and industry; control charts (62P30) Transportation, logistics and supply chain management (90B06) Dynamic programming (90C39)

Cites Work

• A-ECMS: an adaptive algorithm for hybrid electric vehicle energy management
• A Comparative Analysis of Route-Based Energy Management Systems for Phevs

This page was built for publication: A-EMCS for PHEV based on real-time driving cycle prediction and personalized travel characteristics