ExpectedOutcome:
Project results are expected to contribute to all of the following outcomes:
- A simplified, efficient and connected battery management system (BMS) including a reduction of parts and cost (optionally by using cloud-based battery status calculation with adequate consideration of security aspects provided a low overall climate impact), including data necessary for second life and Vehicle-to-everything (V2X) applications.
- Improved and optimized monitoring and predictive diagnostics for a more accurate reliable and efficient battery management maintenance (data-driven diagnostics, over-the-cloud software updates and firmware replacements, self-testing and on-board diagnostics) that are accessible to other third parties in non-discriminatory terms, for instance for maintenance or reuse.
- Development of relevant interfaces to allow access to the BMS and its database by vehicle charging infrastructure and related mobility services providers with the consent and input of EV driver preferences through an appropriate user interface, for instance for battery and cabin pre-conditioning, minimum final state of charge selection etc.
- Generally improved exploitation of battery performance (such as faster charging and enhanced regenerative braking control for higher energy recovery), and increased battery pack volumetric density (by 10% or more due only to BMS contribution compared to 2022 State of the Art), safety and prolongation of battery life-time (by at least 30%) by considering algorithms for cell level state of health, cell aging prediction and battery state estimation, including also the integration of smart sensor systems – with validation under real driving conditions (demonstrating up to 15 years lifetime in the future).
- Improved control of battery operating conditions and determination of key state estimators (SoX = e.g. State of Health, State of Power, State of Safety, State of Charge) to increase accuracy and to improve the early warning capability for performance, reliability, safety, and lifetime issues on all battery system levels.
- New simulation tools and test methods for faster development, validation and integration of the battery pack, considering assembly design (reducing cabling for the external voltage detection communication function) and realizing a reduction of testing time by 30% (collection of battery characteristics for SoX algorithm optimisation using less calibration).
- Enhanced communication between battery and vehicle control unit for a more efficient battery operation by synchronizing the electronic control units (ECUs) of the BMS and the EV.
Scope:
Advances in the design, functioning and data accessibility of an efficient battery management system (BMS) are of high significance when it comes to the integration of batteries in electric vehicles (passenger cars and commercial vehicles) and the general improvement of battery performance.
Proposals are expected to address all the following aspects:
- Predictive SoX diagnostics (based on sensing at cell level) to accurately predict the end-of-life, as well as high connectivity and data storage to optimize the life and general use of the EV.
- Advanced use of physics-based, data-driven or hybrid models in general, considering for example Artificial Intelligence (AI) with machine learning algorithms, model training and self-adaptive functions.
- Secure, real-time and databased battery management to reduce margins in a controlled manner and to ensure optimized, safe utilisation during all modes of operation and accurate classification for a second life.
- A link between the BMS and the ECU of the vehicle to exchange data about weather, temperature, speed, topographies, etc. and detailed information on battery operation, thereby achieving the best possible battery monitoring, diagnostics and lifetime, while optimizing driving range.
Proposal should leverage and not duplicate activities underway under Important Project of Common European Interest (IPCEI) and Batteries partnership [1], and link with projects funded under topics:
- HORIZON-CL5-2022-D2-01-05: Next generation technologies for High-performance and safe-by-design battery systems for transport and mobile applications (Batteries Partnership);
- HORIZON-CL5-2022-D2-01-09: Physics and data-based battery management for optimised battery utilisation (Batteries Partnership).
Where appropriate, links will need to be ensured with projects funded under topic HORIZON-CL5-2024-D5-01-03: Advanced battery system integration for next generation vehicles.
Projects should take into account the access to battery information as defined in the proposal for the Renewable Energy Directive COM(2021)557 of 14 July 2021.
This topic implements the co-programmed European Partnerships on ‘Towards zero emission road transport’ (2ZERO) and Batteries (Batt4EU). As such, projects resulting from this topic will be expected to report on the results to the European Partnership ‘Towards zero emission road transport’ (2ZERO) and Batteries (Batt4EU) in support of the monitoring of their KPIs.
Specific Topic Conditions:
Activities are expected to achieve TRL 6 by the end of the project – see General Annex B.
[1]https://bepassociation.eu/synergies-and-collaborations/ipceis/; https://bepassociation.eu/
