Nonlinear Model Inversion-Based Output Tracking Control for Battery Fast Charging
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| Název: | Nonlinear Model Inversion-Based Output Tracking Control for Battery Fast Charging |
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| Autoři: | Li, Yang, 1984, Wik, Torsten, 1968, Huang, Yicun, 1992, Zou, Changfu, 1987 |
| Zdroj: | Batteristyrning via adaptiv modellering och prediktiv reglering Litiumjonbatterikontroll för snabbare laddning och längre livslängd IEEE Transactions on Control Systems Technology. 32(1):225-240 |
| Témata: | Electrolytes, Computational modeling, Electrochemical–thermal model, Optimization, Electrodes, Resistance, inversion-based control, fast charging, Lithium-ion batteries, lithium plating (LiP), lithium-ion batteries, Integrated circuit modeling |
| Popis: | We propose a novel nonlinear control approach for fast charging of lithium-ion batteries, where health- and safety-related variables, or their time derivatives, are expressed in an input-polynomial form. By converting a constrained optimal control problem into an output tracking problem with multiple tracking references, the required control input, i.e., the charging current, is obtained by computing a series of candidate currents associated with different tracking references. Consequently, an optimization-free nonlinear model inversion-based control algorithm is derived for charging the batteries. We demonstrate the efficacy of our method using a spatially discretized high-fidelity pseudo-two-dimensional (P2D) model with thermal dynamics. Conventional methods require computationally demanding optimization to solve the corresponding fast charging problem for such a high-order system, leading to practical difficulties in achieving low-cost implementation. Results from comparative studies show that the proposed controller can achieve performance very close to nonlinear and linearized model predictive control but with much lower computational costs and minimal parameter tuning efforts. |
| Popis souboru: | electronic |
| Přístupová URL adresa: | https://research.chalmers.se/publication/536933 https://research.chalmers.se/publication/537449 https://research.chalmers.se/publication/537449/file/537449_Fulltext.pdf |
| Databáze: | SwePub |
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Nájsť tento článok vo Web of Science | Abstrakt: | We propose a novel nonlinear control approach for fast charging of lithium-ion batteries, where health- and safety-related variables, or their time derivatives, are expressed in an input-polynomial form. By converting a constrained optimal control problem into an output tracking problem with multiple tracking references, the required control input, i.e., the charging current, is obtained by computing a series of candidate currents associated with different tracking references. Consequently, an optimization-free nonlinear model inversion-based control algorithm is derived for charging the batteries. We demonstrate the efficacy of our method using a spatially discretized high-fidelity pseudo-two-dimensional (P2D) model with thermal dynamics. Conventional methods require computationally demanding optimization to solve the corresponding fast charging problem for such a high-order system, leading to practical difficulties in achieving low-cost implementation. Results from comparative studies show that the proposed controller can achieve performance very close to nonlinear and linearized model predictive control but with much lower computational costs and minimal parameter tuning efforts. |
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| ISSN: | 10636536 15580865 |
| DOI: | 10.1109/TCST.2023.3306240 |