SENSIBAT’s overall objective is to develop a sensing technology for Li-ion batteries that measures in real-time the internal battery cell temperature, pressure (e.g. mechanical strain, gas evolution) conductivity and impedance (separately for the anode, cathode and electrolyte). The data and insights from these new sensing technologies will be used for the development of improved state estimator functions based on an improved understanding of how, where and when degradation and failure mechanisms occur. These functions will be included in the Battery Management System (BMS).
The developed sensing technologies will improve the understanding of the nature and timing of unwanted internal battery processes and will enable faster and more accurate control of the individual cells in a battery system during operation. More accurate control stretches the possibilities of fast charging and discharging, increases the usable battery capacity in different weather conditions and gives a detailed usage history. It allows for better battery state forecasting, resulting in a longer lifetime and more economical use during its 1st and 2nd life. Sophisticated lifetime prediction models enable improved (preventive) maintenance schemes. SENSIBAT’s technology will be developed for all Li NMC battery types and can be transferred to serve other battery chemistry types as well.
SENSIBAT encompasses five main objectives:
- The development of the required battery cell sensor technology.
- The integration of the developed sensor technology into 1Ah and 5Ah pouch battery cells.
- The incorporation of the 5 Ah cells in a 24V battery module with BMS.
- The utilisation of the data from the internal sensing technologies to develop robust and advanced state estimation functions. Several state (SOC/SOH/SOE/SOP) estimation algorithms will be improved, better forecasting algorithms and novel safety concepts (SOS) will be created.
- The cost-benefit analysis for the batteries with sensors as well as a recycling study of the cells.
Together with INSTABAT and SPARTACUS, the SENSIBAT project directly contributes to the Battery2030+ roadmap goals oriented to the integration of smart functionalities in batteries. For instance, the developed sensing technologies could provide decisive information to further trigger self-healing mechanisms developed in BAT4EVER and HIDDEN projects. Additionally, the data provided by internal sensors could be systematically exploited to increase the understanding on the evolution of the different interfaces inside the cell (BIG project) and feed the AI models used for material discovery in the Material Acceleration Platform (MAP project).