Battery Interface Genome – Materials Acceleration Platform
BIG-MAP is the largest project with 34 partners and aims to reinvent the way we invent batteries developing core modules and key demonstrators at the Materials Acceleration Platform that is specifically designed for the accelerated discovery of battery materials and interfaces. BIG-MAP relies on the development of a unique R&D infrastructure and accelerated methodology that unites and integrates insights from leading experts, competences and data throughout the battery (discovery) value chain with Artificial Intelligence (AI), high-performance computing (HPC), and autonomous synthesis robotics.
The BIGMAP project is coordinated by Tejs Vegge, DTU, Denmark.
Hindering dendrite growth in lithium metal batteries
The HIDDEN project is developing self-healing processes to enhance the lifetime and to increase the energy density of Limetal batteries by 50% above the level achievable with current Liion batteries. HIDDEN will develop novel selfhealing thermotropic liquid crystalline electrolytes and piezoelectric separator technologies, investigate both technologies with protective additives, and apply multiscale modelling means for electrolyte design and analysis algorithm to monitor the dendrite growth.
The HIDDEN project is coordinated by Marja Vilkman, VTT, Finland.
INSTABAT will develop four embedded physical sensors (optical fibers with Fiber Bragg Grating and luminescence probes, reference electrode and photoacoustic gas sensor) and two virtual sensors (based on electrochemical and thermal reduced models) in order to perform reliable in operando monitoring (time and spaceresolved) of battery cell key parameters and correlate their evolution with the physicochemical degradation phenomena of the cell. INSTABAT is intended to improve the battery functional performance and safety, thanks to enhanced Battery Management System (BMS) algorithms providing in realtime higher accuracy States of Charge, Health, Power, Energy and Safety cell indicators (taking the measured and estimated parameters into consideration). INSTABAT will deliver a proof of concept of smart sensing technologies and functionalities integrated into a battery cell and their interfaces with the BMS. INSTABAT will in particular focus on the following two key use cases: cycling at extreme conditions and highpower charging for Electric Vehicles (EV) applications.
The INSTABAT project is coordinated by Maud Priour, CEA, France.
Cell-integrated sensing functionalities for smart battery systems with improved performance and safety
SENSIBAT’s overall objective is to develop a sensing technology for Liion batteries that measures in realtime 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.
The SENSIBAT project is coordinated by Jon Crego, Ikerlan, Spain.
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Spatially resolved acoustic, mechanical and ultrasonic sensing for smart batteries
The SPARTACUS project aims to develop a multifunctional sensor array technology for various types of batteries combined with an advanced battery management system ensuring improved charging behavior and maximized battery lifetime. The optimized detection of battery health and battery function will make it possible to recharge in a safe but fast way – much faster than before. The project will focus on mechanical and acoustic sensors complemented by temperature sensors and electrochemical impedance spectroscopy.
The Spartacus project is coordinated by Gerhard Domann, Fraunhofer ICS, Germany.
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