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.

Study on Hardware-in-the-Loop-Simulation of Hydroturbine Governing System

2010 ◽  
Vol 39 ◽  
pp. 395-398 ◽  
Author(s):  
Hai Hui Song ◽  
Yun Min Xie ◽  
Wei You Cai
Keyword(s):  
Simulation Model ◽  
Real Time ◽  
Hardware In The Loop ◽  
Real Time Simulation ◽  
Testing Platform ◽  
The Real ◽  
Governing System ◽  
Time Simulation

This paper introduces a testing mothod about hydroturbine governing system based on dSPACE hardware-in-the-loop-simulation. PID parameters are adjusted by hardware-in-the-loop -simulation. The results of the simulation show that it can provide simple, intuitive simulation model, and make parameters adjusting more intuitive and easier. The validity of the testing platform have been testified by the results of real-time simulation and hardware-in-the-loop-simulation. The superiority of controldesk in the real-time simulation is prominent.

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.

Limits for the real-time simulation of video services over commodity hardware

2016 ◽  
Vol 10 (4) ◽  
pp. 251-259
Author(s):  
Alberto Álvarez ◽  
Laura Pozueco ◽  
Xabiel G Pañeda ◽  
Roberto García ◽  
David Melendi ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Simulation ◽  
The Real ◽  
Commodity Hardware ◽  
Time Simulation ◽  
Video Services

scholarly journals Establishment of a Real-Time Simulation of a Marine High-Pressure Common Rail System

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5481
Author(s):  
Qinpeng Wang ◽  
Heming Yao ◽  
Yonghua Yu ◽  
Jianguo Yang ◽  
Yuhai He
Keyword(s):  
High Pressure ◽  
Real Time ◽  
Common Rail ◽  
Rail Pressure ◽  
Common Rail System ◽  
Real Time Simulation ◽  
The Real ◽  
Rail System ◽  
Time Simulation ◽  
High Pressure Common Rail

In this paper, the high-pressure common rail system of the marine diesel engine is taken as case study to establish a real-time simulation model of the high-pressure common rail system that can be used as the controlled object of the control system. On the premise of ensuring accuracy, the real-time simulation should also respond quickly to instructions issued by the control system. The development of the real-time simulation is based on the modular modeling method, and the high-pressure common rail system is divided into submodels, including the high-pressure oil pump, common rail tube, injector, and mass conversion. The submodels are built using the “surrogate model” method, which is mainly composed of MAP data and empirical formulas. The data used to establish the real-time simulation are not only from the empirical research into the high-pressure common rail system, but also from simulations of the high-pressure common rail system undertaken in AEMSim. The data obtained from this real-time simulation were compared with the experimental data to verify the model. The error in fuel injection quality is less than 5%, under different pressures and injection durations. In order to carry out dynamic verification, the PID control strategy, the model-based control strategy, and the established real-time simulation are all closed-loop tested. The results show that the developed real-time simulation can simulate the rail pressure wave caused by cyclic injection according to the control signal, and can feedback the control effect of different control strategies. Through verification, it is clear that the real-time simulation of the high-pressure common rail system can depict the rail pressure fluctuation caused by each cycle of fuel injection, while ensuring the accuracy and responsiveness of the simulation, which provides the ideal conditions for the study of a rail pressure control strategy.

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