Multi-Objective Optimization of Kinetic Characteristics for the LBPRM-EHSPCS System

As the ‘heart’ of energy vehicles, the lithium-ion battery is in desperate need of precision improvement, green production, and cost reduction. To achieve this goal, the electro-hydraulic servo pump control system (EHSPCS) is applied to the lithium-ion battery pole rolling mill (LBPRM). However, thi...

Full description

Saved in:
Bibliographic Details
Published inProcesses Vol. 11; no. 9; p. 2623
Main Authors Zhang, Yuhang, Chen, Gexin, Yan, Guishan, Li, Boyuan, Lu, Jianxin, Jiang, Wenguang
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2023
Subjects
Algorithms
Analysis
Batteries
Battery industry
Control equipment
Control systems
Dynamic response
Efficiency
Energy consumption
Hydraulic equipment
Hydraulics
Lithium
Lithium-ion batteries
Load
Multiple objective analysis
Optimization
Pareto optimization
Rechargeable batteries
Rolling mills
Servocontrol
Velocity
Online AccessGet full text

Cover

More Information
Summary:As the ‘heart’ of energy vehicles, the lithium-ion battery is in desperate need of precision improvement, green production, and cost reduction. To achieve this goal, the electro-hydraulic servo pump control system (EHSPCS) is applied to the lithium-ion battery pole rolling mill (LBPRM). However, this development can lead to limited dynamic performance and large power loss as a result of the EHSPCS unique volume direct-drive control mode. At present, how to solve this conflict has not been studied and how the EHSPCS component parameters influence the dynamic response, power loss, and economic performance is not clear. In this paper, a multi-objective optimization (MOO) model for the LBPRM-EHSPCS is proposed by comprehensively considering the dynamic, efficiency, and economic characteristics. Firstly, the evaluation model of the dynamic response, power loss, and cost is investigated. Then, the NSGA-II algorithm is introduced to address the Pareto front of the MOO model. Finally, the power loss and dynamic response of the LBPRM-EHSPCS before and after optimization are tested to validate the viability of the raised method. Results indicate that power loss is decreased by as much as 7.2% while steady-state precision is greatly improved after optimization. The proposed framework enhances the performance in lithium-ion battery manufacturing and can be applied to other kinds of hydraulic systems.
ISSN:2227-9717
2227-9717
DOI:10.3390/pr11092623