Battery Chemistry Detection Algorithm Implementable with Intelligent Systems: A Step towards the Development of a Novel Charger Applicable for Multi-Chemistry Environment

This paper introduces a theory for the development of a fully automated multiple chemistry battery charger. This can be possible through the detection of battery chemistry. The paper presents an algorithm to differentiate between Ni based, Li-ion and Sealed Lead Acid (SLA) batteries through the analysis of voltage profile during charging and discharging periods. The algorithm was implemented and tested in an intelligent charger capable of charging aforementioned types of batteries without any prior identification of battery type from the user. This industrially viable solution for developing multiple chemistry charger can easily be incorporated in any embedded system using minimum input and circuit arrangement connected to the battery.

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