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

Informazioni relative al progetto

BattMaxLife

ID dell’accordo di sovvenzione: 101108878

DOI

10.3030/101108878

Progetto chiuso

Data della firma CE 24 Marzo 2023

Data di avvio 1 Settembre 2023

Data di completamento 31 Agosto 2025

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 230 774,40

Coordinato da

AALBORG UNIVERSITET
Denmark

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I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected processed or generated by the action It is a document describing what data will be collected processed or generated and following what methodology and standards whether and how this data will be shared andor made open and how it will be curated and preserved

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens

Pubblicazioni

Peer reviewed articles (2)

Cell-Level Implementation of Current-Sensorless On-Board Impedance Measurements in Multi-Cell Lithium-Ion Battery Stacks

Autori: Jussi Sihvo, Tomi Roinila, Daniel-Ioan Stroe
Pubblicato in: IEEE Transactions on Industry Applications, 2025, ISSN 0093-9994
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TIA.2025.3541000

Real-time impedance monitoring of Li-ion batteries under dynamic operating conditions using the discrete Fourier transform eigenvector approach

Autori: J. Sihvo, D-I. Stroe
Pubblicato in: Cell Reports Physical Science, Numero 6, 2025, ISSN 2666-3864
Editore: Elsevier BV
DOI: 10.1016/J.XCRP.2025.102512

Conference proceedings (3)

Current Sensorless Broadband Impedance Measurement Technique for Li-ion Battery Applications

Autori: Jussi Sihvo, Daniel-Ioan Stroe, Tomi Roinila
Pubblicato in: 2023 IEEE Energy Conversion Congress and Exposition (ECCE), 2024
Editore: IEEE
DOI: 10.1109/ECCE53617.2023.10361996

Towards practical impedance-based temperature estimation of Li-ion batteries: impedance measurements and feature extraction

Autori: Jussi Sihvo, Daniel-Ioan Stroe
Pubblicato in: 2024 IEEE Energy Conversion Congress and Exposition (ECCE), 2025
Editore: IEEE
DOI: 10.1109/ECCE55643.2024.10860960

Adaptive configuration of generalized nonlinear ECM of Li-ion batteries based on impedance measurements and DRT analysis

Autori: Jussi Sihvo, Vaclav Knap, Tomi Roinila, Daniel-Ioan Stroe
Pubblicato in: 2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe), 2023
Editore: IEEE
DOI: 10.23919/EPE23ECCEEUROPE58414.2023.10264524