3.9 Article

A Review of Equivalent Circuit Model Based Online State of Power Estimation for Lithium-Ion Batteries in Electric Vehicles

Journal

VEHICLES
Volume 4, Issue 1, Pages 1-29

Publisher

MDPI
DOI: 10.3390/vehicles4010001

Keywords

online state of power estimation; equivalent-circuit model; lithium-ion battery; electrical vehicle; review

Funding

  1. Australian government research training program scholarship

Ask authors/readers for more resources

This paper provides an overview of the improvements on equivalent circuit model-based online state of power (SOP) estimation methods in the past decade for lithium-ion batteries used in electric vehicles (EVs). The methods, technical contributions, and testing approaches are discussed, and the challenges and future outlooks are presented.
With rapid transportation electrification worldwide, lithium-ion batteries have gained much attention for energy storage in electric vehicles (EVs). State of power (SOP) is one of the key states of lithium-ion batteries for EVs to optimise power flow, thereby requiring accurate online estimation. Equivalent circuit model (ECM)-based methods are considered as the mainstream technique for online SOP estimation. They primarily vary in their basic principle, technical contribution, and validation approach, which have not been systematically reviewed. This paper provides an overview of the improvements on ECM-based online SOP estimation methods in the past decade. Firstly, online SOP estimation methods are briefed, in terms of different operation modes, and their main pros and cons are also analysed accordingly. Secondly, technical contributions are reviewed from three aspects: battery modelling, online parameters identification, and SOP estimation. Thirdly, SOP testing methods are discussed, according to their accuracy and efficiency. Finally, the challenges and outlooks are presented to inspire researchers in this field for further developments in the future.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.9
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available