Battery state-of-health sensitive energy management of hybrid electric vehicles: Lifetime prediction and ageing experimental validation
Authors:
- Pier Giuseppe AnselmaPAPier Giuseppe Anselma
- Phillip KollmeyerPKPhillip Kollmeyer
- Jeremy LempertJLJeremy Lempert
- Ziyu ZhaoZZZiyu Zhao
- Giovanni BelingardiGiovanni Belingardi
- Ali EmadiAEAli Emadi
- 1 March 2021
- journal article
- research article
- Published by Elsevier in Applied Energy
- Vol. 285
Abstract
No abstract availableKeywords
Funding Information
- Natural Sciences and Engineering Research Council of Canada
- Erasmus+
This publication has 34 references indexed in Scilit:
- Optimal battery utilization over lifetime for parallel hybrid electric vehicle to maximize fuel economy2016
- Comparison of power-split and parallel hybrid powertrain architectures with a single electric machine: Dynamic programming approachApplied Energy, 2016
- Energy Management Strategy for HEVs Including Battery Life OptimizationIEEE Transactions on Transportation Electrification, 2015
- Approximate Pontryagin’s minimum principle applied to the energy management of plug-in hybrid electric vehiclesApplied Energy, 2014
- A practical battery wear model for electric vehicle charging applicationsApplied Energy, 2014
- Battery State-of-Health Perceptive Energy Management for Hybrid Electric VehiclesIEEE Transactions on Vehicular Technology, 2012
- Modeling the prospects of plug-in hybrid electric vehicles to reduce CO2 emissionsApplied Energy, 2011
- Cycle-life model for graphite-LiFePO4 cellsJournal of Power Sources, 2011
- Comparison of different approaches for lifetime prediction of electrochemical systems—Using lead-acid batteries as exampleJournal of Power Sources, 2008
- An accelerated calendar and cycle life study of Li-ion cellsJournal of Power Sources, 2001