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Automotive Innovation

Energy Management Optimization Based on Aging Adaptive Functional State Model of Battery for Internal Combustion Engine Vehicles

  • 01-02-2023
Published in:
Authors
Weiwei Kong
Tianmao Cai
Yugong Luo
Xiaomin Lian
Fachao Jiang
Published in
Automotive Innovation | Issue 1/2023

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Abstract

The article delves into the critical role of battery management in internal combustion engine (ICE) vehicles, highlighting the need for effective energy management strategies. It introduces a Functional State Model (FSM) and an Aging Adaptive Functional State Model (AAFSM) to comprehensively depict battery characteristics throughout their lifecycle. These models consider both chemical properties and practical operating conditions, making them applicable to various types of ICE vehicle batteries. The proposed battery protection scheme and energy management strategy aim to enhance fuel economy and ensure vehicle start-up capability, setting this research apart from previous studies that primarily focus on electric vehicles.
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Title
Energy Management Optimization Based on Aging Adaptive Functional State Model of Battery for Internal Combustion Engine Vehicles
Authors
Weiwei Kong
Tianmao Cai
Yugong Luo
Xiaomin Lian
Fachao Jiang
Publication date
01-02-2023
Publisher
Springer Nature Singapore
Published in
Automotive Innovation / Issue 1/2023
Print ISSN: 2096-4250
Electronic ISSN: 2522-8765
DOI
https://doi.org/10.1007/s42154-022-00204-1
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