Blind and task-ware multi-cell battery management system

Blind and task-ware multi-cell battery management system

Blog Article

Multi-Cell Battery (MCB) management and battery lifetime extension is vital for battery powered systems.This paper focuses on MCB scheduling and proposes the blind and task-ware scheduling methods to prolong MCB lifetime.The first step into designing an efficacious method to schedule MCB is using an MBC battery model for computer simulations.To do so, this research introduces an MCB model based on Peukert law and recovery effect.The effect of different time steps on MCB lifetime is studied and it is shown that there is only sophie allport bee curtains one optimum time step for each discharge pattern Canvas Mesh Athletic Running Shoes that maximizes the MCB lifetime.

In the next step, blind and task-ware scheduling are introduced for MCB management.The blind method uses a neural network time step estimator to find the optimum time step for MCB at different discharge currents without any contemplation about drawn current pattern, but the task-ware MCB scheduling method considers the discharge pattern and finds the best set of solutions during a specific time interval.The simulations show that the task-ware scheduling method extends the battery lifetime on average by 31% compared to blind method.