Browse Publications Technical Papers 2020-28-0435

Predicting Life-Cycle Estimation of Electric Vehicle Battery Pack through Degradation by Self Discharge and Fast Charging 2020-28-0435

Electric mobility is an emerging mode of transportation, causing rapid growth of battery pack usage in electric vehicles. These battery packs were limited working life to be used in electric Vehicles. In addition, the disposal is becoming as a major threat to an environment. So, there is a need to increase the working life of battery pack used in electric vehicles to reduce the burden on the environment. In this regard, this paper is focused on studying the life cycle estimation of the battery pack. Battery pack degradation was observed through its self-discharge pattern and also due to the urge to increase the rate of charging. This research study was focused on understanding the degradation rate due to self-discharge and also due to fast charging patterns in battery packs. Estimation of self-discharge is depending on voltage, time and state of charge of the battery pack. Simulation analysis will carry out to evaluate state of charge analysis of the electric vehicle battery pack. By working on the optimization of self-discharge pattern, working life of the electric vehicle battery pack will increase. By growing energy storage capacity electric vehicle battery pack, fast charging can only be achieved using a high-power charging system. This leads to power dissipation inside electric vehicle battery pack modules. This results heat generation inside the battery cell that cause a critical effect on battery pack safety, performance, lifetime. This degradation rate was used as the key factor in estimating the working life of the battery pack for electric vehicle application. In this work, open-circuit voltage approach was used for developing the predictive model. In opencircuit voltage approach electrical vehicle battery equivalent model is established by mat lab software focusing on improving the suitability on various scenarios.


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