The main goal of the planned joint project “Lithium-ion cells for integration with extended sensor technology LImeS” is the development, optimization and application-oriented integration of lithium-ion battery (LIB) cells with multiple sensors.

This sensor system, its control electronics and the associated cell intelligence ensure the safe operation of the entire battery using the highest possible energy density for both industrial and automotive applications. For this purpose, sensor technology is being developed in and on cylindrical and prismatic LIB cells, which allows an exact determination of the state of the cell in real time with justifiable effort and thus also enables an appropriate reaction to uncertain or aging-accelerating cell states, which will also be proven experimentally. Module concept studies are produced from these cells, on which the necessary assembly and connection techniques are developed and optimized in order to ultimately create a comprehensive evaluation and assessment of industrial feasibility, taking cost restrictions into account. The consortium of the joint project consists of five industrial partners, who make the entire value chain of LIB cells available to the partners, and is technically supported by four scientific institutes. IEK-9 is involved in the main work packages WP2 (Optimization and integration of internal sensors), WP3 (Electrochemical impedance spectroscopy) and WP5 (Model-based evaluation). The institute is responsible for the development, estimation and experimental validation of electrochemical models, in particular models that describe electrochemical impedance spectra of the Li-ion batteries used in the project. Such models are intended to simulate measurements actually performed by the embedded sensors, including all details of the applied protocol, e.g. pulse-modulated sine wave excitation, and determine the corresponding response of the electrochemical system. A better knowledge of the interaction between sensor, electronics and electrochemistry will help to better control the energy storage process at the cellular level and provide the necessary input for the design and optimization of the module/pack.