Hokyung Shim, Jihyun Kim and Jungpyo Hong
The purpose of this paper is to study the electric vehicle (EV) drive efficiency of a traction motor considering regenerative braking according to various motor cores.
Abstract
Purpose
The purpose of this paper is to study the electric vehicle (EV) drive efficiency of a traction motor considering regenerative braking according to various motor cores.
Design/methodology/approach
A software program was developed to predict the driving performance of an EV. It determines the driving mileage, the required power of the traction motor, and the operation points on a torque-speed map when drive cycles are given. The driving performance is calculated from the battery capacity, vehicle specification, and efficiency map of the traction motor computed using the finite element analysis.
Findings
As a result, the motor core is a significant design variable for raising the driving mileage of an EV. It is noted that the change of electrical steels used for the motor core is the lowest priced method of increasing the driving range by 2 km.
Originality/value
The comparative analysis of motor core by replacing 35PN250 to 25PNX1250F results in improvement effects traveling 4.62 and 5.16 km farther in the Simplified Federal Urban Driving Schedule (SFUDS) and Highway Fuel Economy Driving Schedule (HWFET), respectively. It was also verified that regenerative braking system is able to enhance drive efficiency by 29-31.3 km in the SFUDS and 6.5-7.3 km in the HWFET. From comparison of price rise for increasing driving mileage by 2 km, it is noted that the change of electrical steels used for the motor core is the lowest priced method.
Details
Keywords
Hokyung Shim, Heegon Moon and Semyung Wang
This research aims to present a 3D multi‐objective approach regarding both magnetic and thermal characteristics associated with design of actuators.
Abstract
Purpose
This research aims to present a 3D multi‐objective approach regarding both magnetic and thermal characteristics associated with design of actuators.
Design/methodology/approach
The adjoint variable topology sensitivity equations are derived using the continuum method for 3D optimization. Convection interpolation function is proposed for density method of topologies such that convection term can be taken into consideration for practical design in the process of the optimization. In application of a C‐core actuator, the sensitivity is verified using the finite difference method (FDM). The proposed method is applied to the C‐core actuator and a single‐phase induction motor.
Findings
The thermal field is much more sensitive than electromagnetics that the weighing factor is investigated in the SPIM. Optimal topology result shows that cutting is needed.
Originality/value
A 3D topology optimization for magnetic and thermal systems using the finite element method is proposed.