Lithium-ion battery State of Health(SOH)estimation is an essential issue in battery management systems.In order to better estimate battery SOH,Extreme Learning Machine(ELM)is used to establish a model to estimate lith...Lithium-ion battery State of Health(SOH)estimation is an essential issue in battery management systems.In order to better estimate battery SOH,Extreme Learning Machine(ELM)is used to establish a model to estimate lithium-ion battery SOH.The Swarm Optimization algorithm(PSO)is used to automatically adjust and optimize the parameters of ELM to improve estimation accuracy.Firstly,collect cyclic aging data of the battery and extract five characteristic quantities related to battery capacity from the battery charging curve and increment capacity curve.Use Grey Relation Analysis(GRA)method to analyze the correlation between battery capacity and five characteristic quantities.Then,an ELM is used to build the capacity estimation model of the lithium-ion battery based on five characteristics,and a PSO is introduced to optimize the parameters of the capacity estimation model.The proposed method is validated by the degradation experiment of the lithium-ion battery under different conditions.The results show that the battery capacity estimation model based on ELM and PSO has better accuracy and stability in capacity estimation,and the average absolute percentage error is less than 1%.展开更多
In this paper, observer design for an induction motor has been investigated. The peculiarity of this paper is the synthesis of a mono-Luenberger observer for highly coupled system. To transform the nonlinear error dyn...In this paper, observer design for an induction motor has been investigated. The peculiarity of this paper is the synthesis of a mono-Luenberger observer for highly coupled system. To transform the nonlinear error dynamics for the induction motor into the linear parametric varying （LPV） system, the differential mean value theorem combined with the sector nonlinearity transformation has been used. Stability conditions based on the Lyapunov function lead to solvability of a set of linear matrix inequalities. The proposed observer guarantees the global exponential convergence to zero of the estimation error. Finally, the simulation results are given to show the performance of the observer design.展开更多
Recent studies have shown that the concentration of greenhouse gases such as carbon dioxide in the atmosphere is growing rapidly over recent years and this can lead to major dangers for the planet.This growth is mainl...Recent studies have shown that the concentration of greenhouse gases such as carbon dioxide in the atmosphere is growing rapidly over recent years and this can lead to major dangers for the planet.This growth is mainly due to the emissions from fossil power source such as diesel plants and gas turbines.The purpose of the present paper is to study the feasibility of integrating a technique based on power to gas concept in fossil power plants such as gas turbine.This work is based on the reduction of pollutant gas emissions produced from a gas turbine plant,especially the carbon dioxide.This captured gas(CO_(2))can be converted once again into energy via the technique of power to gas concept.This concept starts by extracting CO_(2)from exhaust gases which is carried out by multiple chemical process.On the other side,H2 is produced from water electrolysis using the excess electricity which is produced but not consumed by the existing loads.finally the production of Methane(CH4)can be achieved by combination of the captured CO_(2)and the extracted H2 via a reactor known as a reactor of Sabatier,this operation is called methanation or hydrogenation of carbon dioxide.Simulation results are presented for the validation of the proposed technique based on real data obtained on site from a gas turbine plant.展开更多
Real-time simulation-based validation plays an essential role in the early stage development of electric traction systems.The high-fidelity real-time simulation relies on the accurate modeling of the power electronics...Real-time simulation-based validation plays an essential role in the early stage development of electric traction systems.The high-fidelity real-time simulation relies on the accurate modeling of the power electronics and motors and usually represents the nonlinear characteristics as many as possible while obeying the computing time constraints.In this paper,an artificial neural network(ANN)aided modeling approach is proposed for the field-programmable gate array(FPGA)-based real-time simulation to deal with the nonlinearities in permanent magnet synchronous motor(PMSM)and its drive.With the help of the ANN,the switches power losses,and the PMSM nonlinear flux linkage and electromagnetic torque can be modeled.An electro-thermal model of inverters and the finite element analysis(FEA)-based PMSM model are thus enabled in the FPGA-based real-time simulation,which can significantly improve the performances of the real-time simulation-based test bench.A two-level inverter fed PMSM drive system is modeled using the ANN-aided modeling approach and simulated in the National Instrument PXIe FlexRIO FPGA real-time system.The accuracy and effectiveness of the proposed approaches are tested and validated by comparing the results with the offline simulation tools.展开更多
基金This work was supported by the State Grid Corporation Headquarters Management Technology Project(SGTYHT/19-JS-215)Southwest Jiaotong University new interdisciplinary cultivation project by(YH1500112432273).
文摘Lithium-ion battery State of Health(SOH)estimation is an essential issue in battery management systems.In order to better estimate battery SOH,Extreme Learning Machine(ELM)is used to establish a model to estimate lithium-ion battery SOH.The Swarm Optimization algorithm(PSO)is used to automatically adjust and optimize the parameters of ELM to improve estimation accuracy.Firstly,collect cyclic aging data of the battery and extract five characteristic quantities related to battery capacity from the battery charging curve and increment capacity curve.Use Grey Relation Analysis(GRA)method to analyze the correlation between battery capacity and five characteristic quantities.Then,an ELM is used to build the capacity estimation model of the lithium-ion battery based on five characteristics,and a PSO is introduced to optimize the parameters of the capacity estimation model.The proposed method is validated by the degradation experiment of the lithium-ion battery under different conditions.The results show that the battery capacity estimation model based on ELM and PSO has better accuracy and stability in capacity estimation,and the average absolute percentage error is less than 1%.
文摘In this paper, observer design for an induction motor has been investigated. The peculiarity of this paper is the synthesis of a mono-Luenberger observer for highly coupled system. To transform the nonlinear error dynamics for the induction motor into the linear parametric varying （LPV） system, the differential mean value theorem combined with the sector nonlinearity transformation has been used. Stability conditions based on the Lyapunov function lead to solvability of a set of linear matrix inequalities. The proposed observer guarantees the global exponential convergence to zero of the estimation error. Finally, the simulation results are given to show the performance of the observer design.
基金This work was supported by the Applied Automation and Industrial Diagnostic Laboratory,University of Djelfa,Algeria and Modelling,Simulation and Optimization of Alternative and Sustainable Systems Team,University of Boumerdes,Algeria and the Fuel Cell Laboratory of the Technology University of Belfort Montbelillard,France.
文摘Recent studies have shown that the concentration of greenhouse gases such as carbon dioxide in the atmosphere is growing rapidly over recent years and this can lead to major dangers for the planet.This growth is mainly due to the emissions from fossil power source such as diesel plants and gas turbines.The purpose of the present paper is to study the feasibility of integrating a technique based on power to gas concept in fossil power plants such as gas turbine.This work is based on the reduction of pollutant gas emissions produced from a gas turbine plant,especially the carbon dioxide.This captured gas(CO_(2))can be converted once again into energy via the technique of power to gas concept.This concept starts by extracting CO_(2)from exhaust gases which is carried out by multiple chemical process.On the other side,H2 is produced from water electrolysis using the excess electricity which is produced but not consumed by the existing loads.finally the production of Methane(CH4)can be achieved by combination of the captured CO_(2)and the extracted H2 via a reactor known as a reactor of Sabatier,this operation is called methanation or hydrogenation of carbon dioxide.Simulation results are presented for the validation of the proposed technique based on real data obtained on site from a gas turbine plant.
基金This work was supported by European Commission H2020 grant PANDA(grant no.H2020-LC-GV-2018),EU grant no.824256.
文摘Real-time simulation-based validation plays an essential role in the early stage development of electric traction systems.The high-fidelity real-time simulation relies on the accurate modeling of the power electronics and motors and usually represents the nonlinear characteristics as many as possible while obeying the computing time constraints.In this paper,an artificial neural network(ANN)aided modeling approach is proposed for the field-programmable gate array(FPGA)-based real-time simulation to deal with the nonlinearities in permanent magnet synchronous motor(PMSM)and its drive.With the help of the ANN,the switches power losses,and the PMSM nonlinear flux linkage and electromagnetic torque can be modeled.An electro-thermal model of inverters and the finite element analysis(FEA)-based PMSM model are thus enabled in the FPGA-based real-time simulation,which can significantly improve the performances of the real-time simulation-based test bench.A two-level inverter fed PMSM drive system is modeled using the ANN-aided modeling approach and simulated in the National Instrument PXIe FlexRIO FPGA real-time system.The accuracy and effectiveness of the proposed approaches are tested and validated by comparing the results with the offline simulation tools.
