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HEIndividual fellowship2023–2025

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

Horizon Europe — Marie Skłodowska-Curie Actions

Duration
2023-09-01 → 2025-08-31
EU contribution
€230,774
Participants
1
Scheme
HORIZON-TMA-MSCA-PF-EF

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Results in brief

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

The ultimate goal of this fellowship project was to maximize the available lifetime of Li-ion batteries. The approach how this was pursued was using the concept of making battery impedance accessible for the battery BMS state-estimation algorithms in real time with a novel ternary-sequence on-board measurement. With impedance included in the state estimation algorithms, the BMS can better optimize the use of the battery to extend its first life by approximately 5-10% depending on the application. In addition, the safety of the battery is more likely to be guaranteed throughout the battery life. With adequate SOH information available 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 the remaining lifetime, safety, and economic value of the battery. The main objectives of the project were: OBJ 1 - Demonstration and validation of the concept’s on-board impedance measurements in the laboratory OBJ 2 - Achieve and validate the targeted 5-10% lifetime improvement for the battery first life with the more accurate state-estimation algorithms provided in the concept. OBJ 3 - Validate the feasibility of the concept for providing comprehensive battery health information throughout the battery life to make it feasible for second-life use, and to gain the targeted 30-50% of additional lifetime improvement.

Data: CORDIS, © European Union

Project 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' sustainabilityThis 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

Original text from CORDIS.

Participants

  • AALBORG UNIVERSITET · AalborgCoordinatorDenmark

Links

Data: CORDIS, © European Union