Effective optimization methods are used to guide the optimal design of coil parameters,which is significant for improving the transmission performance of the wireless power transfer(WPT)system.Traditional methods most...Effective optimization methods are used to guide the optimal design of coil parameters,which is significant for improving the transmission performance of the wireless power transfer(WPT)system.Traditional methods mostly rely on the exhaustive attack method and finite element analysis(FEA)to achieve the coil parameter design,which have the disadvantages of complex modeling and time-consumption.To overcome these limitations,this study proposes an optimization strategy based on the genetic algorithm(GA),which considers the actual requirements of the efficiency and power of the WPT system.First,a direct integration method is proposed to simplify the analytical solution process of the mutual inductance between the hexagonal coils.Based on the mutual inductance model,the transmission characteristics of the hexagonal coil WPT system are deeply analyzed by the control variable method.Most importantly,with the proposed optimization objective function and its constraints,the GA is used to automatically achieve multi-parameter optimization of the hexagonal coil.Finally,a 500 W WPT system experimental platform is established,and the experimental results verify the feasibility of the proposed optimization method.展开更多
Transmission machinery is widely used in railway vehicles and is an important component in driving the operation of trains.Such transmission components are prone to faults under long exposure to harsh environments and...Transmission machinery is widely used in railway vehicles and is an important component in driving the operation of trains.Such transmission components are prone to faults under long exposure to harsh environments and complex working conditions.This affects normal operation and order,and thus it is important to ensure their safe and reliable operation.Electrical signal-based diagnosis technology has advantages of easy signal acquisition,with no need to install additional sensors,nor embedded monitoring of the object components.It has gradually become a research hotspot in the field of rail transportation diagnosis.This paper describes the fault modes of transmission machinery,takes the electrical signal-based diagnosis method as the entry point,collates and compares the existing diagnosis methods and research results in this field.It analyses their advantages and disadvantages,and finally puts forward problems for current and future research and development.展开更多
基金Supported by the Special Funding Support for the Innovative Construction in Hunan Province of China(2020GK2073).
文摘Effective optimization methods are used to guide the optimal design of coil parameters,which is significant for improving the transmission performance of the wireless power transfer(WPT)system.Traditional methods mostly rely on the exhaustive attack method and finite element analysis(FEA)to achieve the coil parameter design,which have the disadvantages of complex modeling and time-consumption.To overcome these limitations,this study proposes an optimization strategy based on the genetic algorithm(GA),which considers the actual requirements of the efficiency and power of the WPT system.First,a direct integration method is proposed to simplify the analytical solution process of the mutual inductance between the hexagonal coils.Based on the mutual inductance model,the transmission characteristics of the hexagonal coil WPT system are deeply analyzed by the control variable method.Most importantly,with the proposed optimization objective function and its constraints,the GA is used to automatically achieve multi-parameter optimization of the hexagonal coil.Finally,a 500 W WPT system experimental platform is established,and the experimental results verify the feasibility of the proposed optimization method.
文摘Transmission machinery is widely used in railway vehicles and is an important component in driving the operation of trains.Such transmission components are prone to faults under long exposure to harsh environments and complex working conditions.This affects normal operation and order,and thus it is important to ensure their safe and reliable operation.Electrical signal-based diagnosis technology has advantages of easy signal acquisition,with no need to install additional sensors,nor embedded monitoring of the object components.It has gradually become a research hotspot in the field of rail transportation diagnosis.This paper describes the fault modes of transmission machinery,takes the electrical signal-based diagnosis method as the entry point,collates and compares the existing diagnosis methods and research results in this field.It analyses their advantages and disadvantages,and finally puts forward problems for current and future research and development.
