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Life-long health monitoring and assessment for lifetime maximization of Li-ion batteries

Project description

Prolonging the lifespan of lithium-ion batteries

Lithium-ion batteries power our modern world, but their limited lifespan poses a growing concern. The accuracy of crucial parameters like state of charge and state of health is vital for battery performance and sustainability. However, there's a critical issue at hand: the limited lifespan of these batteries. With the support of Marie Skłodowska-Curie Actions, the BattMaxLife project integrates a novel impedance measurement method into battery packs, enhancing the parameters' precision, optimising battery use, and ultimately, extending their lifespan, revolutionising the way we harness energy. With enhanced BMS capabilities, lithium-ion batteries can be optimised for their primary applications such as electric vehicles, significantly prolonging their first life. By extending the life of lithium-ion batteries, it’s possible to reduce waste and conserve resources.

Objective

Lithium-ion (Li-ion) batteries have an integrated battery management system (BMS) whose performance is critical in maximizing the available life of the batteries and increasing their sustainability. The BMS monitors state parameters, such as state-of-charge (SOC) and state-of-health (SOH), for safety and performance optimization purposes. The accuracy of these parameters plays a critical role in maximizing the available battery lifetime. This MSCA fellowship project aims to maximize the available lifetime of Li-ion batteries (and subsequently the lifetime of their applications) by making the battery impedance accessible in real-time for the BMS state estimation algorithms by using a novel ternary-sequence impedance measurement method that is integrated onboard the battery pack. The impedance-based SOC and SOH estimation algorithms will offer higher accuracy compared to the available traditional algorithms. Thus, the BMS will be able to optimize the battery's use and consequently maximize its life in its primary application (i.e. first-life application), such as in electric vehicles. Despite lacking the performance for the primary application, the battery is still likely to be used in a less demanding application, i.e. stationary energy storage. With adequate health information available (using the novel impedance-based algorithms) at the end of its first-life, the battery will become an attractive candidate for second-life application, as reliable predictions can be made about its remaining lifetime, safety, and economic value. With first-life maximized and second life provided for the battery pack, the lifetime of the battery is significantly prolonged before the eventual recycling, increasing Li-ion batteries' sustainability
This highly innovative project has a high scientific, economic, and societal impact. Furthermore, the project will allow the applicant to enrich his technical and managerial skills thus boosting his career prospects and enlarging his horizon

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2022-PF-01

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Coordinator

AALBORG UNIVERSITET
Net EU contribution
€ 230 774,40
Address
FREDRIK BAJERS VEJ 7K
9220 Aalborg
Denmark
Region
Danmark Nordjylland Nordjylland
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data