Computationally Efficient Dual Mode Model Predictive Control to Ensure Safe Charging of Lithium-Ion Batteries

IF 2.4 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Control Systems Letters Pub Date : 2024-12-23 DOI:10.1109/LCSYS.2024.3522217
Suchita Undare;Kiana Karami;M. Scott Trimboli
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Abstract

Model predictive control (MPC) has emerged as a promising strategy for the control of lithium-ion batteries due mainly to its capability for real-time constraint handling. However, classical implementations of MPC cannot guarantee stability, thus limiting its practical application. In addition, classical linear MPC relies on the computation of a constrained quadratic program at every time step, the computation of which may become burdensome when long horizons and numerous constraints are involved. The present paper applies a “dual mode” variation of MPC which reduces the necessity of implementing a quadratic program and provides assured stability of operation, at the cost of introducing a degree of conservatism.
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保证锂离子电池安全充电的计算高效双模模型预测控制
模型预测控制(MPC)已成为锂离子电池控制的一种有前途的策略,主要是因为它具有实时约束处理的能力。然而,传统的MPC实现不能保证稳定性,从而限制了其实际应用。此外,经典的线性MPC在每个时间步都依赖于一个有约束的二次规划的计算,当涉及到长视界和众多约束时,计算会变得非常繁重。本文采用MPC的“双模式”变化,减少了实现二次规划的必要性,并以引入一定程度的保守性为代价,提供了保证的运行稳定性。
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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