We are thrilled to invite you to the first webinar in the BMS Alliance series, taking place on October 8th, from 11:00 to 12:00. This initial session will present an overview of the BMS Alliance and highlight the goals and ongoing projects: NEMO, ENERGETIC, BATMAX and NEXTBMS.

By fostering collaboration, the Alliance seeks to share knowledge and best practices and ultimately maximise collective impact across industry and policy. This first webinar will introduce the Alliance’s objectives and provide an opportunity to learn about each project’s role in driving battery technology forward.

Register here to explore the future of BMS innovation!

This event is part of a broader webinar series, where we will delve deeper into technical topics, showcase project innovations, and discuss challenges in the field.

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Formed under the Horizon Europe programme, the BMS Alliance brings together four innovative projects that focus on advancing battery management systems (BMS). Who are we?

NEMO combines innovative hardware and software concepts to deliver next-generation BMS. By utilising high-frequency sensor data and dedicated electrochemical impedance spectroscopy (EIS) sensors, NEMO aims to identify and monitor electrochemical processes within battery cells and track their evolution over time. This approach will significantly extend battery life and enhance safety for automotive and stationary applications over the long term.

ENERGETIC focuses on developing the next-generation BMS to optimise battery systems for both transport and stationary applications in a path towards more reliable, powerful, and safer operations. It contributes to the field of translational enhanced sensing technologies, exploiting multiple AI models, supported by Edge and Cloud computing. ENERGETIC will monitor and predict the remaining useful life of a Li-ion battery through a digital twin.

BATMAX aims to create data-based and adaptable BMS capable of meeting the diverse needs of mobile and stationary applications. The project focuses on enhancing battery performance, safety, reliability, and service life, as well as developing a framework to efficiently parametrise physics-based models. A key outcome is the development of a scalable digital twin framework that integrates advanced battery models with extensive sensor data to monitor battery aging and facilitate key system functions.

NEXTBMS will develop advanced BMS by deepening the understanding of the physicochemical processes in lithium-ion batteries. The project seeks to optimise sensors and measurement techniques to meet modeling needs and the physical cell configuration to form a framework that supports battery state prediction and control. NEXTBMS will enable higher performance, safety, and longer battery lifetime.

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