The aim of the project is to improve the accuracy of estimation of State of Charge (SoC) of Battery. Conventional SoC estimation methods will be done On-site, which lags with memory and compute power hence complex models or algorithms that provide high accuracy are difficult to implement. This project sends the sensed data to cloud for processing and estimation of SoC using complex models that can be implemented to improve accuracy of SoC prediction.
Expected outcome : Design of Battery pack, Sensing the parameters of Battery, wireless transmition of data to cloud, implementation of model based algorithms on cloud to estimate SoC.
Benefits: Improved reliability on battery with accurate estimation of SoC