Accelerated Cell- and Battery Testing

Project Information

AccCellBaT

Grant agreement ID: 101103628

DOI

10.3030/101103628

EC signature date 20 March 2023

Start date 1 April 2023

End date 30 September 2026

Funded under

• Climate, Energy and Mobility

Total cost

€ 4 980 428,75

EU contribution

€ 4 980 428,75

Coordinated by

AVL LIST GMBH
Austria

Periodic Reporting for period 1 - AccCellBaT (Accelerated Cell- and Battery Testing)

Reporting period: 2023-04-01 to 2024-09-30

Summary of the context and overall objectives of the project

Project AccCellBaT aims at an overall reduction of battery development testing time of 30% or more. This shall be achieved via improved modelling on material, component,
and battery system level. A linked data management platform will ensure that requirements, data, results and models
accross all stages of the development procees (from cell manufacturer to OEM) are made available. Via a hybrid Design validation and verification plan physical and digital testing
shall be applicable for the verfication and validation of a battery systems with viewpoint on its readiness for the market. In the framework of project
AccCellBaT battery development processes shall be optimized in a way that they accelerate development times accordingly by applying both optimized physical and
digital tests. The developed methods will be applicable for multiple industrial fields.
During the first period of project AccCellBaT the Use case for automotive and storage field have been defined and required testcases for verfication and validation
have been developed. Models capable of describing the behaviour of batteries and battery components under test conditions have been elaborated.
A linked data management platform that is capable of linking data over the full development process has been established. The integration of models into the linked data management platform has been described. Based on user stories,
first scenarios for the linked data management platform usage have been elaborated and applied. An AccCellBaT-specific process optimization strategy has been worked out, emphasizing the possibilities of overall development time saving by investing effort in upfront model and methodology development.
The battery systems have been thoroughly analyzed; this system analysis allowed a definition of dedicated failure modes, describing the main damage drivers
for the battery systems to be investigated via testing and/or modelling.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

During the 1 period, the use cases for the stationary/automotive case have been described in WP1. The UCs form the basis for the elaboration of product specifications, with that requirements towards the battery systems have been defined (WP1/WP6). System models have been created for stationary/automotive use case (WP6). The cell specification for the advanced cell developed during the project has been finalized (WP2). A system analysis for these UCs has been completed based on the system specifications and -models. The main damage drivers have been identified along with modelling activities preparation (WP5). In WP6 a linked data management platform was created/prepared for the collecting. All aspects of modelling (thermal, mechanical, electrical, electrochemical) have reached a maturity sufficient for an integration into the linked DMP (WP2, WP3, and WP4). Specific focus for damage modelling has been put on the HV wiring of (automotive) battery systems (WP4) and battery cell ageing (WP2). Scale-up of model application from material/component to system level has been started and is being further developed (WP3). For the integration of models in the linked DMP a specification document has been elaborated (WP5).

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

With the elaboration and application of the linked Data management platform in the project, a baseline for Battery development project data management has been provided. Based on user stories, derived from both the project tasks as well as the roles of persons in the project, the linked data management platform provides necessary data in combination with a corresponding link to the respective user, based on his/her demands. Thus a comprehensive link over the full battery development project is provided, which can be tailored for the respective user. Compared to conventional development work, communication ways are shortened, multiply tool usage for information / data procurement is prevented and an information exchange accross the stages of development (material development - battery subsystem development - battery system development) is enhanced. Thus AccCellBaT provides a methodology to streamline material modelling, system component modelling (cell, HV wiring in focus) with battery system level activities (DVP creation).
Electrochemical cell degradation modelling in combination with a novel in-situ sensor technique allow the development of improved ageing models. HV wiring harness degradation models are put in the focus for development for non-cell topics, allowing to investigate degradation mechanisms. The outcome of degradation modelling on all (sub-)component can be integrated in the Failure parameter sheet set up specifically for the AccCellBaT use cases. The same applies to the developed mechanical (crush), electrical and thermal models that are at present subject to optimization.
The efforts culiminate as input for the overall acceleration of a Battery development process that is applicable for multiple industrial fields; the process acceleration strategy outline has been defined, integration and optimization of the conducted development is part of the 2nd part of the project.
For test cycle optimzation the elaborated failure parameter sheets feature the basis for a selection of appropriate tests. Via an adjustment of boundary conditions (reference cycle vs. test cycle comparison, use case analysis) the tests can be optimized towards a reduced testing time at a higher quality of the test results.