Batixt develops R3 EIS as a measurement technology and method for faster, richer and more relevant battery insight. Through collaborative projects with universities, research groups and industrial partners, we explore how rapid, high-resolution EIS can support better understanding of battery behaviour and create practical value across the battery value chain.
R3 EIS generates new types of dynamic impedance data. To turn this measurement capability into usable knowledge, collaboration is essential. Academic partners contribute electrochemical expertise, modelling methods and scientific validation. Industrial partners contribute real-world use cases, application requirements and practical environments where measurement workflows can be tested and refined.
Across our ongoing projects, the shared direction is clear: to make EIS faster, more detailed and more useful.
Battery research — understanding electrochemical mechanisms and new chemistries.
Instrument development — adapting measurement capability across cell and module formats.
Data interpretation — connecting high-resolution EIS data with physics-based and data-driven models.
Industrial workflows — exploring how rapid EIS can support QA, service, reuse and battery system development.
Focus: Dynamic EIS, modelling and industrial battery diagnostics
Status: Ongoing
Period: 2026–2030
Partners: Batixt, Linköping University, Husqvarna Group, Toyota Material Handling Europe and Sungkyunkwan University
Support: The Swedish Energy Agency
This project explores how high-resolution dynamic EIS data can be combined with physics-based and AI-supported modelling to develop new methods for battery diagnostics and decision support. The work connects Batixt’s R3 EIS measurement technology with academic modelling expertise and industrial use cases from OEM partners.
The project addresses several parts of the battery value chain, including quality assurance, battery system development, service diagnostics, life-extension and second-life assessment.
Why it matters
Battery systems are increasingly used in demanding industrial applications where better insight into health, performance and degradation is needed. Conventional test methods often provide limited information or require long measurement times. By combining rapid dynamic EIS with modelling and industrial validation, the project aims to build a stronger foundation for understanding batteries under more realistic use conditions.
Project focus
Batixt’s contribution
Batixt contributes R3 EIS measurement technology, instrument development, method expertise and project coordination. The company’s role is to provide the measurement capabilities and application knowledge needed to generate relevant data for modelling, validation and industrial use.
Expected direction
The project is expected to contribute to new measurement workflows, modelling approaches, diagnostic indicators and decision-support concepts for industrial battery applications. Public results and publications will be added when available.
Focus: Module-level EIS, battery health assessment and second-life decision support
Status: Ongoing
Period: 2025–2026
Partners: Batixt and Toyota Material Handling Europe
Support: The Swedish Energy Agency
This project investigates how rapid, current-controlled, multi-frequency impedance analysis can be used to understand battery chemistry and battery behaviour. The work focuses on how electrochemical mechanisms in prototype batteries and commercial cells are reflected in large volumes of impedance data.
The project has a strong research focus and is intended to support deeper scientific understanding of how R3 EIS data relates to chemical processes, structural change, transport phenomena and ageing mechanisms in batteries.
Why it matters
New battery chemistries and cell formats require better tools for understanding what happens inside the cell during charge, discharge and ageing. Rapid impedance analysis can generate rich datasets, but these datasets must be connected to electrochemical meaning. This project focuses on building that scientific foundation.
Project focus
Batixt’s contribution
Batixt contributes R3 EIS instrumentation, method expertise and support for applying rapid high-resolution EIS in battery research. The company also develops and provides instrument variants suited to different cell formats used in the project.
Expected direction
The project is expected to contribute to scientific understanding of R3 EIS methodology, new modelling approaches and future use of rapid impedance analysis in battery research and commercial cell evaluation. Publications and project updates will be added when available.
Focus: Fundamental EIS understanding, new battery chemistries and research instrumentation
Status: Ongoing
Period: 2026–2030
Partners: Uppsala University, Linköping University and Batixt, with Altris as an industrial stakeholder
Support: The Swedish Energy Agency
This project focuses on developing and validating a prototype R3 EIS instrument for fast and precise testing of battery modules. The work is connected to the need for better State of Health assessment after use, for example after leasing periods or before decisions about reuse, service or recycling.
The project combines technical prototype development with commercial exploration, including customer needs, business model development and IP strategy.
Why it matters
Battery reuse and second-life decisions require reliable information about battery condition. Today, many decisions are limited by slow, incomplete or impractical test methods. Faster module-level EIS could support better decisions about remaining value, reuse potential, service needs and recycling.
Project focus
Batixt’s contribution
Batixt leads the technical and commercial development in the project, including prototype development, measurement methodology, analysis of application potential and planning for future commercialisation.
Expected direction
The project is expected to strengthen the technical and commercial basis for module-level R3 EIS applications, particularly in circular battery use, leasing-related battery assessment and second-life decision workflows. Public results will be added when available.
