In the electric vehicle industry, the applicability of cloud-based services, artificial intelligence, and IoT technologies is increasing. However, the changing demands and needs of customers highlight the necessity for developing next generation data-based and adaptable battery management systems by combining cutting edge hardware and software solutions.

The main objective of the project is to develop next generation data-based and adaptable battery management systems to enhance battery system performance, safety, reliability, lifespan, and lifetime cost, while improving the value created by operations of the battery systems in various kinds of applications where the circular value chain for EV batteries places sustainability at the forefront, aiming to maximize battery life cycles through practices such as first-use, re-use, remanufacturing, and recycling.

The project aims to establish a framework for efficiently parameterizing physics-based models , as well as the hardware and sensorisation on cell and system level to collect and communicate battery measurement data through IoT, with support from Edge and Cloud computing. This includes advanced battery models with integrated digital twins capable of managing large volumes of measured data, facilitating comprehensive monitoring of battery aging. This framework enables the utilization of state-of-the-art technology and techniques such as machine learning, deep learning algorithms, IoT and Cloud to provide an economical and reliable solution by offering functions such as battery state estimations, remaining lifetime predictions, early failure detection and predictive maintenance with higher accuracy. By the implementation of functional safety and cybersecurity features, the project ensures that the developed systems meet the highest standards of functionality and safety, verified by their feasibility through targeted bench tests.
Advantages and innovation
The next-generation battery management system paves the way for a new era of sustainability and economic growth in the battery industry, achieving remarkable milestones ahead. It aims to deliver:

- Increased battery life, thereby reduced environmental impact and maximized value.
- Accurate the state of health and charge estimation for longer battery lifespan and higher safety.
- Accurate Remaining Useful Life (RUL) and End-of-Life prediction for an efficient selection of second life application’s usage and recycling.
- Early detection of potential issues through continuous monitoring of battery data, thereby minimizing safety risks.
- Advanced battery data acquisition utilizes sensor-based solutions at the battery system to enable deeper understanding of cell state and improved functionality.
- Concurrent development of systems with models and sensors to gain deeper understanding of battery cell degradation processes.
- Enabled simultaneous measurement of current and voltage across multiple cells for EIS (electrochemical impedance spectroscopy) analysis.
Technical Specification or Expertise Sought
MEAtec is a trusted technology provider in the automotive industry, specializing in battery system technologies. With its hands-on experience and expertise, the company delivers cutting-edge solutions that keep its clients ahead of the competition. Assisting its customers in developing complete projects that align with the latest electrification trends, MEAtec aims at shaping a better future for climate-neutral mobility by 2050. The company is committed to providing solutions for the challenges faced by electric vehicle batteries, including limitations in range, lifespan, safety, charging times, reuse, and recycling.

MEAtec offers a comprehensive range of engineering services globally, from Europe to Asia. The company s expertise encompasses software, hardware, mechanics, systems engineering, and test engineering. Dedicated to delivering world-class solutions that meet the automotive quality standard, MEAtec ensures excellence in every aspect of its projects.

Framework program
Eureka
Call title and identifier
Eurostars
Submission and evaluation scheme
Anticipated project budget
Coordinator required
No
Deadline for EoI
01/09/2024
Deadline of the call
01/09/2024