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Second-life Lithium-ion Battery Lifetime Extension through Self-healing Strategies

Project description

Improving lithium-ion battery sustainability

As the European Green Deal drives towards climate neutrality by 2050, the surplus of retired electric vehicle batteries presents a challenge. Even though these batteries retain 80 % of their capacity, they are often discarded prematurely. Supported by the Marie Skłodowska-Curie Actions programme, the BLESS project aims to spearhead new advances in battery sustainability by developing an advanced self-healing concept for second-life lithium-ion batteries. Using intelligent pulsing strategies and AI, the project will monitor battery health and restore any lost power instantly. The approach is designed to ensure that the batteries will not only be safe and durable in the long run but will also perform optimally in all conditions.

Objective

The European Green Deal sets an ambitious goal of achieving climate neutrality by 2050, with lithium-ion batteries (LIBs) playing a pivotal role in enabling sustainable transportation and renewable energy integration. However, millions of LIBs are prematurely retired from electric vehicles (EVs) despite retaining up to 80% of their designed capacity, leading to substantial environmental and economic challenges. Leveraging emerging self-healing (SH) techniques that utilize intelligent pulse-based interventions, the BLESS project aims to unlock the untapped potential of second-life LIBs while ensuring safety and durability.

To achieve this, BLESS will develop an integrated multi-timescale self-healing framework consisting of three core innovations: 1) Advanced multi-timescale state estimation, enabling rapid detection of lithium plating and capacity degradation by combining field-accessible pulse tests with machine learning; 2) Optimized pulse restoration strategies that designs adaptive pulse parameter profiles to respectively suppress lithium plating and recover lost capacity, ensuring safety and durability; 3) Joint optimization for lifetime extension, implementing a multi-objective dual-loop optimization framework to continuously regulate pulse parameters under uncertain operation conditions, enabling long-term safety and durability of second-life batteries.

The methodologies will integrate electrochemistry, signal processing, machine learning, and optimization, delivering a validated experimental platform and novel algorithms. Dr. Shengyu Tao, as an MSCA fellow, will receive comprehensive interdisciplinary training at Chalmers University of Technology, combining theoretical modeling, AI-driven diagnostics, and real-world battery experiments. The outputs of this project will provide scalable solutions for second-life LIB utilization, directly contributing to Europe’s sustainability goals while fostering industrial innovation, energy and material security.

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-2025-PF

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Coordinator

CHALMERS TEKNISKA HOGSKOLA AKTIEBOLAG
Net EU contribution
€ 252 180,00
Address
-
412 96 Goteborg
Sweden
Region
Södra Sverige Västsverige Västra Götalands län
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data