Universal battery identification system

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The importance of energy storage in the sustainable energy chain has resulted in an increasing number ofbattery technologies being introduced into the market. Utilizing each type of the battery to its full potentialrequires charging and discharging methods that are specific to the battery chemistry and the battery's state ofthe health. However, the technology behind the battery is not always known to the user. A method that enablesthe fast identification of the battery chemistry can be achieved through measuring its response to electrical orother perturbations. This approach could enable identification of the number of cells in a packaged battery andits appropriate and safe handling. Many major telecommunication device manufacturers have shown interest inthis area by filing patents for such a device. However, these patented systems are directed towards use withinthe company and mainly distinguishes between the various battery models specific to the manufacturer. Theyhave yet to show a working prototype of a universal battery identifier. During the first Engage grant supportedresearch, the specific characteristics of the various battery technologies were studied to determine thedistinguishing features of each battery type. Battery classification was handled by fitting to physical models andthen through data cleansing and machine learning techniques. The results showed that the proof of concept wassuccessful. This initial success will be further developed with the company to create a universal batterymonitoring and charging system.