This paper deals with the electromechanical actuator (EAct) design for a seat latch while maintaining required force and displacement according to the boundary conditions and design criteria for the finite element method (FEM) in an Ansys Maxwell environment. Before presenting the analysis studies, some EAct models are parameterized according to the Taguchi’s design of experiment (DoE) method. After that, analysis results are evaluated to define the critical model parameters of the EAct according to the DoE method. Furthermore, the DoE results and design parameters of the EAct are trained in some cases by an artificial neural network (ANN). The dynamic behavior of the models from the ANN and DoE results are analyzed and the results obtained are compared. Finally, the optimal EAct model is defined taking into account design criteria.
Using compressed air to store energy is one of the energy storage methods. In this study, a small scale compressed air energy storage (CAES) system is designed and modeled. The energy storage capacity of designed CAES system is about 2 kW. The system contains a hydraulic pump unit, expansion-compression liquid pistons, valves, a tank, and a control unit. The aim of the designed system is basically to store air under a defined pressure. The designed CAES system is modeled and simulated by MATLAB/Simulink program. Pressure changes in the tank and pistons are obtained. Besides, energy storage capacity of the system for different pressures is investigated in isothermal conditions.
This article addresses the bond graph model that allows for better comprehension of what the physical and mathematical concepts involved in electromechanical actuators are. In this study a disc type electromechanical actuator is modeled according to the bond graph method. Nonlinear effects such as flux path permeances, leakage loss and material saturation in a magnetic circuit are taken into account. The model is run on 20-sim 4.7 software, which allows for working directly with bond graph concepts. Simulation run-time is approximately 0.3 s for the simulation time of 12 ms. Results achieved with this model are compared with an MATLAB/Simulink model prepared using magnetic circuit algebraic equations. It was determined that the results of both models are almost identical. The static and dynamic model results are also verified by test results. As a consequence, a simple, fast running, accurate and easy-to-understand comprehensive bond graph model with magnetic circuit characteristics was developed. The model can be adapted to any type of electromechanical actuators with proper arrangement.
This study presents a series of analyzes considering the traction and steering demands of an autonomous electric vehicle (AEV) as a shuttle. The considered analyzes in here are dealt with as driving cycle (DC) and driving scenarios (DS) to assess the traction and steering performance of the AEV. The aim of this study is to evaluate the issues such as over engineering for AEV traction and steering motor requirements on a certain route by comparatively analyzing traditional and dynamic calculation under the DC and DS. Therefore, DC and DS in the lit-erature are evaluated in terms of different applications, optimization techniques, generation algorithm, parametric characterization, e-motor type etc. Afterwards, NEDC, US06, WLTC, Double Lane Change (DLC), Constant Radius (CR) and Slowly Increase Steer (SIS) are determined. Then, they are arranged according to the vehicle-specific limits on an electric golf car. The modified DCs and DSs are run on the dynamic model of the vehicle. In the performed analysis, the parame-ters such as reference trajectory tracking, yaw angle, tractive and steering forces, lateral and longitudinal displacement-acceleration, steering and traction motor power–speed-torque are investigated. And the obtained results are evaluated by comparing the traditional calculation results.
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