Design of a Real-Time Dynamic Test Bench for Testing and Developing a Novel Seamless Two-Speed Transmission for Electric Vehicles

2017 ◽  
Author(s):  
Truong Sinh Nguyen ◽  
Jian Song ◽  
Shengnan Fang ◽  
Haijun Song ◽  
Yuzhuo Tai ◽  
...  
Keyword(s):  
Real Time ◽  
Electric Vehicles ◽  
Test Bench ◽  
Direct Torque Control ◽  
Dynamic Test ◽  
Torque Control ◽  
Mechanical Transmission ◽  
The Real ◽  
Time Dynamic ◽  
Ev Model

Experiment on a test bench is one of the key points during the research and development of a transmission. This paper designs a new real-time dynamic test bench based on MATLAB/Simulink® for testing and developing a novel seamless two-speed automatic mechanical transmission (AMT) for electric vehicles (EVs). Structure of the transmission allowing seamless shifting between two gears is also proposed. According to the transmission structure and the real-time testing requirements, hardware components and software system of the test bench are designed. A real-time executable and flexible model of the EV that is more suitable for hardware-in-the-loop (HIL) simulation, is built to run on Simulink Real-Time platform. The EV model is combined with two induction motors adopting direct torque control (DTC) technique to emulate the dynamic driving conditions of the transmission on the test bench. Simulation and experimental results show that the test bench responds well to the real-time dynamic requirements and it is very useful for testing and developing the proposed transmission.

A computationally efficient torque and flux ripple reduction by active vector optimization approach using direct torque control–based model predictive torque control for matrix converter–fed permanent magnet synchronous motor

2022 ◽  
pp. 014233122110688
Author(s):  
JD Anunciya ◽  
Arumugam Sivaprakasam
Keyword(s):  
Permanent Magnet ◽  
Real Time ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Synchronous Motor ◽  
Matrix Converter ◽  
Torque Control ◽  
Optimization Approach ◽  
The Real ◽  
The Matrix

The Matrix Converter–fed Finite Control Set–Model Predictive Control is an efficient drive control approach that exhibits numerous advantageous features. However, it is computationally expensive as it employs all the available matrix converter voltage vectors for the prediction and estimation. The computational complexity increases further with respect to the inclusion of additional control objectives in the cost function which degrades the potentiality of this technique. This paper proposes two computationally effective switching tables for simplifying the calculation process and optimizing the matrix converter active prediction vectors. Here, three prediction active vectors are selected out of 18 vectors by considering the torque and flux errors of the permanent magnet synchronous motor. In addition, the voltage vector location segments are modified into 12 sectors to boost the torque dynamic control. The performance superiority of the proposed concept is analyzed using the MATLAB/Simulink software and the real-time validation is conducted by implementing in the real-time OPAL-RT lab setup.

Design and Development of a Real-Time Simulation and Testing Platform for a Novel Seamless Two-Speed Transmission for Electric Vehicles1

2018 ◽  
Vol 141 (2) ◽  
Author(s):  
Truong Sinh Nguyen ◽  
Jian Song ◽  
Liangyao Yu ◽  
Shengnan Fang ◽  
Yuzhuo Tai ◽  
...  
Keyword(s):  
Real Time ◽  
Direct Torque Control ◽  
Mechanical Tests ◽  
Torque Control ◽  
Real Time Simulation ◽  
Testing Platform ◽  
The Real ◽  
Dynamic Mechanical ◽  
Time Simulation ◽  
Hil Simulation

An approach for building a real-time simulation and testing platform for a novel seamless two-speed automated manual transmission (AMT) for electric vehicles (EVs) is proposed and experimentally evaluated. First, the structure of the AMT and the dynamic model of an EV powertrain system equipped with the AMT are presented. Then, according to the testing requirements, a prototype of the AMT, hardware components and software system of the platform are designed. Unlike a real-time transmission test bench, of which the real-time simulation and control system (RSCS) is built based on a dedicated simulator, the RSCS of the platform is built based on a standard desktop personal computer (PC) by using a useful and low-cost solution from matlab/simulink®. Additionally, a simulation model of EV, which is equipped with the AMT and is more suitable for hardware-in-the-loop (HIL) simulation, has been developed. In particular, for conducting various dynamic mechanical tests, the platform is combined with induction motors (IMs), which are adopted with direct torque control (DTC) technique to emulate the dynamic driving conditions of the transmission. The designed platform can be used for different test techniques, including rapid simulation, rapid control prototyping, HIL simulation as well as dynamic mechanical tests. The work expands the capability of the platform and makes the test conditions become closer to reality. Simulation and experimental results indicate that the platform responds well to the real-time dynamic requirements, and it is very useful for developing the proposed transmission.

Real Time Implementation of High Performance’s Direct Torque Control of Induction Motor on FPGA

2014 ◽  
Vol 9 (5) ◽  
pp. 919 ◽  
Author(s):  
Saber Krim ◽  
Soufien Gdaim ◽  
Abdellatif Mtibaa ◽  
Mohamed Faouzi Mimouni
Keyword(s):  
Real Time ◽  
Induction Motor ◽  
Direct Torque Control ◽  
Torque Control

scholarly journals Implementation and intelligent gain tuning feedback–based optimal torque control of a rotary parallel robot

2021 ◽  
pp. 107754632110191
Author(s):  
Farzam Tajdari ◽  
Naeim Ebrahimi Toulkani
Keyword(s):  
Real Time ◽  
Tracking Error ◽  
Parallel Robot ◽  
Torque Control ◽  
Test Bed ◽  
Linear Quadratic ◽  
Control Effort ◽  
The Real ◽  
Unknown Disturbances ◽  
Quadratic Integral

Aiming at operating optimally minimizing error of tracking and designing control effort, this study presents a novel generalizable methodology of an optimal torque control for a 6-degree-of-freedom Stewart platform with rotary actuators. In the proposed approach, a linear quadratic integral regulator with the least sensitivity to controller parameter choices is designed, associated with an online artificial neural network gain tuning. The nonlinear system is implemented in ADAMS, and the controller is formulated in MATLAB to minimize the real-time tracking error robustly. To validate the controller performance, MATLAB and ADAMS are linked together and the performance of the controller on the simulated system is validated as real time. Practically, the Stewart robot is fabricated and the proposed controller is implemented. The method is assessed by simulation experiments, exhibiting the viability of the developed methodology and highlighting an improvement of 45% averagely, from the optimum and zero-error convergence points of view. Consequently, the experiment results allow demonstrating the robustness of the controller method, in the presence of the motor torque saturation, the uncertainties, and unknown disturbances such as intrinsic properties of the real test bed.

scholarly journals Using Digital Twining in Fast-food Production Chain Simulation

2021 ◽  
Vol 343 ◽  
pp. 03005
Author(s):  
Florina Chiscop ◽  
Bogdan Necula ◽  
Carmen Cristiana Cazacu ◽  
Cristian Eugen Stoica
Keyword(s):  
Real Time ◽  
Fast Food ◽  
Virtual Model ◽  
Time Data ◽  
Production Chain ◽  
The Real ◽  
Time Dynamic ◽  
Digital Twin ◽  
Food Company ◽  
The Moment

The topic of this paper represents our research in the process of creating a virtual model (digital twin) for a fast-food company production chain starting with the moment when a customer launches an order, following with the processing of that order, until the customer receives it. The model will describe elements that are included in this process such as equipment, human resources and the necessary space that is needed to host this layout. The virtual model created in a simulation platform will be a replicate of a real fast-food company, thus helping us observe the real time dynamic of this production system. Using WITNESS HORIZON 23 we will construct the model of the layout based on real time data received from the fast-food company. This digital twin will be used to manage the production chain material flow, evaluating the performance of the system architecture in various scenarios. In order to obtain a diagnosis of the system’s performance we will simulate the workflow running through preliminary architecture in compliance with the real time behaviour to identify the bottlenecks and blockages in the flow trajectory. In the end we will propose two different optimised architectures for the fast-food company production chain.

scholarly journals Predictive Direct Torque Control of Switched Reluctance Motor for Electric Vehicles Drives

2020 ◽  
Author(s):  
Reyad Abdelfadil ◽  
László Számel
Keyword(s):  
Electric Vehicles ◽  
High Performance ◽  
Direct Torque Control ◽  
Switched Reluctance Motor ◽  
Power Converter ◽  
Torque Control ◽  
Switching Frequency ◽  
Suggested Approach ◽  
Switched Reluctance ◽  
Reluctance Motor

The electrical drive systems utilized in Electric Vehicles (EVs) applications must be reliable and high performance. To providing these specifications, it is essential to design high-efficiency electric motors and develop high-performance controllers. This study introduces direct torque control of Switched Reluctance Motor (SRM) for electric vehicle applications using Model Predictive Control (MPC) technique. The direct torque control using MPC is proposed to maintain the motor torque and motor speed to tracking desired signals with a satisfactory response. In this study, the MPC algorithm was programmed in C- language, and the simulation tests were performed using a non-linear model of 6/4 - 60 kW SRM that is fed with the symmetrical converter. The proposed controller was tested under different load conditions to verify the robustness of the controller, as well as at variable speeds to investigate the tracking performance. Thanks to the proposed method, the SRM torque ripples, stator copper losses, and average switching frequency of the power converter can reduce effectively due to applying a cost function that combines multiple objectives. The obtained outcomes show the effectiveness of the suggested approach compared to conventional direct torque control techniques.

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