LAPSE:2024.1239
Published Article

LAPSE:2024.1239
Research on AGC Nonlinear Compensation Control for Electro-Hydraulic Servo Pump Control of a Lithium Battery Pole Strip Mill
June 21, 2024
Abstract
Electrode roll forming involves rolling a battery electrode into a preset thickness using a hydraulic roll gap thickness automatic control system (hydraulic AGC for short). The pump-controlled AGC is a highly nonlinear servo system, which is a combination of mechanical, hydraulic and electronic control disciplines; thus, as a new technology, it still faces many challenges in the field of pole plate rolling. In this paper, electro-hydraulic servo pump-controlled AGC technology is replaced by electro-hydraulic servo valve-controlled AGC technology. With pump-controlled AGC high-precision thickness control as the research objective, the fuzzy control method is selected to deal with complex nonlinear systems based on pump-controlled AGC nonlinear stiffness characteristics and nonlinear transmission characteristics. A characteristic compensation control strategy is proposed. At the same time, considering the load fluctuation caused by the uneven thickness of the electrode plate under the intermittent coating rolling condition of a lithium battery, the fuzzy internal model (IMC) compensation control strategy was proposed to compensate the structural characteristics of the electrode plate rolling. Comparative experiments show that the position control accuracy of the pump-controlled AGC system can be improved significantly by using a fuzzy IMC compensation control strategy. The steady-state accuracy of the slope signal can reach ±0.7 μm, and the position-following accuracy of the sinusoidal signal can reach ±1.8 μm. In addition, this study will assist technological upgrades to lithium battery electrode roll forming and fixed-roll-gap rolling, laying a theoretical foundation for the promotion of pump control technology in the field of electrode rolling.
Electrode roll forming involves rolling a battery electrode into a preset thickness using a hydraulic roll gap thickness automatic control system (hydraulic AGC for short). The pump-controlled AGC is a highly nonlinear servo system, which is a combination of mechanical, hydraulic and electronic control disciplines; thus, as a new technology, it still faces many challenges in the field of pole plate rolling. In this paper, electro-hydraulic servo pump-controlled AGC technology is replaced by electro-hydraulic servo valve-controlled AGC technology. With pump-controlled AGC high-precision thickness control as the research objective, the fuzzy control method is selected to deal with complex nonlinear systems based on pump-controlled AGC nonlinear stiffness characteristics and nonlinear transmission characteristics. A characteristic compensation control strategy is proposed. At the same time, considering the load fluctuation caused by the uneven thickness of the electrode plate under the intermittent coating rolling condition of a lithium battery, the fuzzy internal model (IMC) compensation control strategy was proposed to compensate the structural characteristics of the electrode plate rolling. Comparative experiments show that the position control accuracy of the pump-controlled AGC system can be improved significantly by using a fuzzy IMC compensation control strategy. The steady-state accuracy of the slope signal can reach ±0.7 μm, and the position-following accuracy of the sinusoidal signal can reach ±1.8 μm. In addition, this study will assist technological upgrades to lithium battery electrode roll forming and fixed-roll-gap rolling, laying a theoretical foundation for the promotion of pump control technology in the field of electrode rolling.
Record ID
Keywords
compensation control, electro-hydraulic servo pump control, fuzzy internal model, nonlinear drive, pole rolling
Subject
Suggested Citation
Wang K, Chen G, Zhang C, Liu K, Wang F. Research on AGC Nonlinear Compensation Control for Electro-Hydraulic Servo Pump Control of a Lithium Battery Pole Strip Mill. (2024). LAPSE:2024.1239
Author Affiliations
Wang K: School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
Chen G: School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China; Mechanical and Electrical Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China
Zhang C: School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
Liu K: Mechanical and Electrical Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China
Wang F: School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China; Mechanical and Electrical Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China
Chen G: School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China; Mechanical and Electrical Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China
Zhang C: School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
Liu K: Mechanical and Electrical Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China
Wang F: School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China; Mechanical and Electrical Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China
Journal Name
Processes
Volume
12
Issue
1
First Page
158
Year
2024
Publication Date
2024-01-09
ISSN
2227-9717
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Original Submission
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PII: pr12010158, Publication Type: Journal Article
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LAPSE:2024.1239
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https://doi.org/10.3390/pr12010158
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Jun 21, 2024
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