Introducing a novel strategy to manage lithium-ion cells in fast-charge discharge operations with Model predictive controller

Document Type : Research Article

Authors

1 Department of Mechanical Engineering, K.N. Toosi University of Technology, Tehran, Iran

2 Department of Mechanical Engineering, K.N. Toosi University of Technology,Tehran, Iran

Abstract

To prevent safety issues such as thermal runaway, lithium-ion batteries must be constantly monitored via an appropriate battery management system. Most thermal management methods are based on designing suitable cooling systems. In addition, since the surface temperature is measurable through a sensor, it is considered the main criterion of thermal management. However, in extremely fast charge-discharge operations, the core temperature can be significantly higher than the surface temperature. Thus, the cooling system may not be able to solely maintain the core temperature in the safe range. The objective of this paper is to combine electrical and thermal management and set the core temperature as the main criterion. To achieve that, model predictive control is implemented to control the supplied or drawn current of the battery cell, and the Sigma point Kalman filter is used to estimate the states of the experimentally derived electrothermal model. The simulation and experimental results indicate that incorporating model predictive controller and Kalman filter Estimators can be a novel strategy to simultaneously manage electrical and thermal states in both charge and discharge operations. It is also expected that controlling the electrical and thermal states of battery cells in fast charge-discharge operations may increase the safety and lifetime of the cell.

Keywords

Main Subjects

References

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Amirkabir Journal of Mechanical Engineering
Volume 55, Issue 6
September 2023
Pages 677-704

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