
Title: NExt-generation MOdels for advanced battery electronics
Call ID: HORIZON-CL5-2022-D2-01 (Cross-sectoral solutions for the climate transition)
EU nr: 101102944
Total Budget: 4,903,103.75 €
VUB Allocated Budget: 1,275,115 €
Contact: Prof. dr. ir. Maitane Berecibar
Battery Innovation Centre homepage | MOBI VUB (paddlecms.net)
ABSTRACT:
NEMO project aims at advancing the state of the art of battery management systems (BMS) by engaging advanced physics-based and data-driven battery models and state estimation techniques. Towards achieving this goal, the consortium tends to provide efficient software and hardware to handle, host, process, and execute these approaches within high-end local processors and cloud computing.
NEMO benefits from a wide range of sensor information acquired at high frequencies in addition to dedicated electrochemical impedance spectroscopy (EIS) sensors which allow for the identification of ongoing electrochemical reactions inside each individual battery cell. Capable hardware for storing and processing such measurements will be provided by the tier 1 members of this industry onboard the consortium.
The availability of such diverse physical information on batteries onboard makes room for developing cutting-edge performance, lifetime, and safety battery models and state estimators within NEMO, and validating them on two different BMS configurations. Physics-based performance model parameters continuously get updated as the battery ages, so that performance and safety state indicators maintain the least possible error. The data-driven approaches exploit mathematical algorithms to be trained upon the large datasets made available from historical or laboratory-generated battery information. Combinations of coupled physics-based and data-driven approaches are also foreseen to be implemented within NEMO as another innovation of the project to propose next-generation BMS.
Solutions offered by NEMO considerably extend battery life and make the battery system safer within long-term operation since every individual cell is monitored, controlled, and studied. NEMO’s ambitious solutions for stationary and automotive use cases are expected to be validated by industrial partners and to take a considerable share of the market in later years.
AIM (WHAT)
There is currently little knowledge about the battery's overall state when it is in use, since existing battery management systems tend to rely on a limited amount of observed data and on semi-empirical battery models. This situations results in a suboptimal utilisation of batteries. Against this background, the NEMO project aims at advancing the state of the art of battery management systems. Concretely, the project has six key objectives: (i) to demonstrate improved sensor signal acquisition and increased computational resources for battery management systems; (ii) to validate improvements stemming from an automatic model update on the state-of-charge estimation; (iii) to validate improved lifetime modelling via advanced state-of-health and remaining-useful-life algorithms; (iv) to demonstrate battery lifetime extension via state-of-health-balancing at the cell level; (v) to validate early failure detection via cell pressure and core temperature estimation under load; and (vi) to demonstrate data management performance and providing FAIR data for the research community. Collectively, results from the NEMO project will contribute to extending battery life and to increasing the safety of the battery system within long-term operations.
METHODOLOGY (HOW)
In order to achieve these goals, the NEMO project will rely on combinations of coupled physics-based and data-driven approaches. Specifically, the project's methodology will involve the implementation of hardware demonstrators and the development of algorithms. The hardware components will be used for the storing and processing of measurements of electrochemical reactions inside each individual battery cell. The data-driven approaches rely on mathematical algorithms to be trained upon the large datasets made available from historical or laboratory-generated battery information. The methodology adopted by NEMO is key for the development of a next-generation battery management system.
IMPACT (WHY)
The NEMO project will provide key digital, enabling and emerging technologies for the management of battery assets for automotive and stationary storage applications. As such, the project will strengthen European industrial leadership in the domain and provide results that are directly exploited by the end-users of smart and sustainable transport solutions and clean energy products. On a higher level, NEMO will also contribute to making Europe the first digitally enabled circular, climate-neutral and sustainable economy.