Abstract
Lithium-based batteries operation is related to some safety risks of dangerous flaming, integrity destruction, or even explosion. Gas leakage is an early and reliable indicator for such irreversible malfunctioning of electrical accumulators. Often, accurate gas emission source location sensing is difficult especially in heavy operational conditions, related to temperature changes, vibrations, movements, accelerations, etc. In this paper we propose a gas detection system, with catalytic type sensor array, and a numerical reconstruction method for precise gas emission source location inside the battery pack. The detection system employs a distributed array of CO sensors. Proposed sensor array configurations significantly reduce the number of sensing nodes inside the battery pack and fewer sensors than the protected battery elements are used. This way, data acquisition process by sensor nodes is also simplified. Several array configurations are considered according to their measurement efficiency and accuracy. Reconstruction algorithm is based on fast interpolation technique very suitable for real-time data processing. Estimation of reconstruction method accuracy is made by computational model of the gas diffusion inside the pack.
Highlights
Electrochemical accumulator batteries are critical for modern technologies for transportation, computation, communication, and many more
Sensor array configurations are: Three values are taken at sensor nodes positions, introduced in
Concentration values are taken at sensor nodes positions, where the sensor array configuration
Summary
Electrochemical accumulator batteries are critical for modern technologies for transportation, computation, communication, and many more. Li-Ion batteries are characterized by optimal energy and power density, long operational life, high efficiency in static and dynamic modes, etc These batteries could become unstable in certain conditions, causing dangerous flaming and explosion. Direct monitoring of each element is extremely difficult, due to the huge quantity of sensors required, multiple sensors wiring complexity, complicated signal routing, multiplexing of data channels, accurate and fast measuring, data processing, and protective system reaction. All together, these difficulties result in high cost of monitoring protective systems, reducing their field of applications [1,2,3,4,5]
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