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Design of a Model-based Fractional-Order Controller for Optimal Charging of Batteries

机译：基于模型的分数级控制器设计，可用于电池的最佳充电

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this paper proposes a robust closed-loop control strategy for optimal charging of batteries. Model-based design of the charging controller is performed based on a coupled electro-thermal aging battery model. For developing an optimal charging strategy, besides minimization of charging time, prolonging the lifetime of the battery is of great importance. As the first step towards implementing a health-conscious charging controller, trajectory planning is carried out by solving a nonlinear optimization problem. The aim is to obtain optimal charging profiles while minimizing the aging. By linearization of the nonlinear battery model, a large uncertainty is observed in the behavior of the linear battery model under different operating conditions. In order to address this problem, CRONE control methodology is used. CRONE control scheme is a robust non-conservative control methodology that shows to be a good candidate for achieving the control targets for our case of study. Subsequently, the design and parametrization of the controller is explained. The simulation results are provided to prove the effectiveness of the CRONE controller. Simulation tests show that the developed controller meets the design requirements while tracking the reference signals in presence of model uncertainties.
机译：本文提出了一种坚固的闭环控制策略，可用于电池的最佳充电。基于耦合的电热老化电池模型执行充电控制器的模型设计。为了开发最佳充电策略，除了最小化充电时间，延长电池的寿命非常重要。作为实现健康有意识的充电控制器的第一步，通过解决非线性优化问题来执行轨迹规划。目的是获得最佳充电型材，同时最小化老化。通过非线性电池模型的线性化，在不同操作条件下的线性电池模型的行为中观察到大的不确定性。为了解决这个问题，使用了克隆控制方法。克朗控制方案是一种坚固的非保守控制方法，展示了实现我们对学习案例的控制目标的好候选者。随后，解释了控制器的设计和参数化。提供了仿真结果以证明克朗控制器的有效性。仿真试验表明，发达的控制器在存在模型不确定性的情况下跟踪参考信号的同时满足设计要求。

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