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State-of-charge Estimation for Lithium-ion Batteries Using a Multi-state Closed-loop Observer
Zhao, Yulan,Yun, Haitao,Liu, Shude,Jiao, Huirong,Wang, Chengzhen The Korean Institute of Power Electronics 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.5
Lithium-ion batteries are widely used in hybrid and pure electric vehicles. State-of-charge (SOC) estimation is a fundamental issue in vehicle power train control and battery management systems. This study proposes a novel model-based SOC estimation method that applies closed-loop state observer theory and a comprehensive battery model. The state-space model of lithium-ion battery is developed based on a three-order resistor-capacitor equivalent circuit model. The least square algorithm is used to identify model parameters. A multi-state closed-loop state observer is designed to predict the open-circuit voltage (OCV) of a battery based on the battery state-space model. Battery SOC can then be estimated based on the corresponding relationship between battery OCV and SOC. Finally, practical driving tests that use two types of typical driving cycle are performed to verify the proposed SOC estimation method. Test results prove that the proposed estimation method is reasonably accurate and exhibits accuracy in estimating SOC within 2% under different driving cycles.
State-of-charge Estimation for Lithium-ion Batteries Using a Multi-state Closed-loop Observer
Yulan Zhao,Haitao Yun,Shude Liu,Huirong Jiao,Chengzhen Wang 전력전자학회 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.5
Lithium-ion batteries are widely used in hybrid and pure electric vehicles. State-of-charge (SOC) estimation is a fundamental issue in vehicle power train control and battery management systems. This study proposes a novel model-based SOC estimation method that applies closed-loop state observer theory and a comprehensive battery model. The state-space model of lithium-ion battery is developed based on a three-order resistor?capacitor equivalent circuit model. The least square algorithm is used to identify model parameters. A multi-state closed-loop state observer is designed to predict the open-circuit voltage (OCV) of a battery based on the battery state-space model. Battery SOC can then be estimated based on the corresponding relationship between battery OCV and SOC. Finally, practical driving tests that use two types of typical driving cycle are performed to verify the proposed SOC estimation method. Test results prove that the proposed estimation method is reasonably accurate and exhibits accuracy in estimating SOC within 2% under different driving cycles.
Progressive Collapse Resistance Analysis of Plate-member Composite Reticulated Shell Structure
Tengteng Zheng,Caiqi Zhao,Yun Xu,Zekun Fan,Haitao Lan,Lijie Shang 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.8
In order to study the progressive collapse resistance of plate-member composite reticulated shell structure and propose an applicable analysis method, the complete and member removal experimental models of composite reticulated shell structure were designed by Alternate Path (AP) analysis method, and the progressive collapse resistance test and numerical analysis were carried out. The results show that the honeycomb plate contributes greatly to the bearing capacity of the composite structure, the ultimate bearing capacity of member removal structure is 3.64% smaller than that of the complete structure, and the ultimate displacement is 30% smaller. The average error of load-displacement curves between the progressive collapse resistance test and numerical analysis is less than 10% in the elastic stage, and the overall failure mode of the numerical analysis model and the experimental model is consistent. The anti-progressive collapse analysis method based on modal sensitivity is suitable for the plate-member composite reticulated shell structure due to high computational efficiency and accuracy, which provides a reference for progressive collapse resistance analysis of plate-member composite reticulated shell structure.