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

MSCA (Marie Skłodowska-Curie)HORIZON-TMA-MSCA-PF-EFID: 101108878
EC Contribution
€2,308
Consortium Size
1 orgs
Start Year
2023
Summary

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

Consortium (1)

Project Results (8)

Source: CORDIS, the EU research results database.

Publications (5)
Cell-Level Implementation of Current-Sensorless On-Board Impedance Measurements in Multi-Cell Lithium-Ion Battery Stacks
IEEE Transactions on Industry Applications· 2025DOI
Jussi Sihvo, Tomi Roinila, Daniel-Ioan Stroe
Real-time impedance monitoring of Li-ion batteries under dynamic operating conditions using the discrete Fourier transform eigenvector approach
Cell Reports Physical Science· 2025DOI
J. Sihvo, D-I. Stroe
Towards practical impedance-based temperature estimation of Li-ion batteries: impedance measurements and feature extraction
2024 IEEE Energy Conversion Congress and Exposition (ECCE)· 2025DOI
Jussi Sihvo, Daniel-Ioan Stroe
Current Sensorless Broadband Impedance Measurement Technique for Li-ion Battery Applications
2023 IEEE Energy Conversion Congress and Exposition (ECCE)· 2024DOI
Jussi Sihvo, Daniel-Ioan Stroe, Tomi Roinila
Adaptive configuration of generalized nonlinear ECM of Li-ion batteries based on impedance measurements and DRT analysis
2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)· 2023DOI
Jussi Sihvo, Vaclav Knap, Tomi Roinila, Daniel-Ioan Stroe
Deliverables (2)
Other Results (1)
Periodic Reporting for period 1 - BattMaxLife (Life-long health monitoring and assessment for lifetime maximization of Li-ion batteries)