A Novel Platform for Powertrain Modeling of Electric Cars With Experimental Validation Using Real-Time Hardware in the Loop (HIL): A Case Study of GM Second Generation Chevrolet Volt

Abdelrahman, Ahmed; Algarny, Khalil Saad A.

doi:10.1109/tpel.2018.2793818

Cited by 40 publications

(16 citation statements)

References 25 publications

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“…Since the development of complex power electronics and drive systems is a very time-consuming process, requiring different tools and complex steps [32][33][34][35][36], the hardware Tyhpoon HIL 402 was chosen for the experiment. It is a test platform integrated with high-precision power electronic hardware model, which can simulate the working state of the hardware under actual working conditions and the physical simulation model can be downloaded to the target machine for hardware-in-the-loop (HIL) testing [37]. The integrated hardware experiment platform is shown in Figure 9.…”

Section: Methodsmentioning

confidence: 99%

A Novel Finite-Control-Set Model Predictive Directive Torque Control Strategy of Permanent Magnet Synchronous Motor with Extended Output

Tian

Wang

et al. 2019

Electronics

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The performance of conventional direct torque control strategy from the viewpoint of flux and torque ripples has been unsatisfactory. Therefore, this study aims to propose a novel finite-control-set model predictive direct torque control strategy with extended output based on two-step prediction. An appropriate pre-selected vector, which is modulated in a specific manner, is selected through a look-up table and then used to optimise the pre-selected voltage vector based on the computing result from the model prediction and output it. The proposed strategy extends the range of the vectors that can be used to enhance the flux and torque control performance and reduce ripples and computational complexity in comparison with the conventional finite-control-set model predictive direct torque control. The feasibility of the proposed method is verified by conducting a verification test using dSPACE and Tyhpoon HIL 402 experimental platform.

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Section: Methodsmentioning

confidence: 99%

A Novel Finite-Control-Set Model Predictive Directive Torque Control Strategy of Permanent Magnet Synchronous Motor with Extended Output

Tian

Wang

et al. 2019

Electronics

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“…Tools to ease the workflow, to help the designers to work simultaneously on each part are a necessity. Not to mention the continuous testing on multiple levels of the development and the validation testing before product release [1,2].…”

Section: Introductionmentioning

confidence: 99%

Power-HIL Application Analysis of a 3-level Inverter for PMSM Machine

Kiss

Varjasi

2021

Period. Polytech. Elec. Eng. Comp. Sci.

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Power-HIL simulation is one of the emerging areas in power electronics development nowadays. It offers a convenient test environment for the whole power electronics hardware but eliminates the necessity of motor test benches and rotating machines. Selecting a suitable power amplifier for the simulator is however a challenging task. Switching power supplies can be an interesting option as Power Amplifier, but they have to offer superior power capability and dynamic performance over the DUT (Device Under Test), while maintaining high enough switching frequency to meet the dynamic requirements as well. Using commercially available inverters as Power Amplifiers would be an attractive option, if they can achieve the desired emulation accuracy. This paper investigates the possibility of using a common 3-level inverter with an L-C-L coupling network as a Power Amplifier for a P-HIL simulator, to emulate a PMSM (Permanent Magnet Synchronous Machine) machine.

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“…Due to the situation of the actual automatic train operation experiment, it is difficult to implement, and traditional simulation based on pure software environment cannot truly reflect the actual automatic train operation process; hardware-in-the-loop simulation (HILS) is often used in automatic train operation due to its characteristics [25,26]. At present, plenty of HILS-related products are researched, developed, and applied in various fields of rail vehicles, traction control system, hybrid electric vehicles, and electric cars, and numerous relative research findings have been achieved [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Shark Smell Optimization Algorithm Using Incorporated Composite Angle Cosine for Automatic Train Operation

Wang

Sheng

et al. 2020

Energies

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In this paper, an improved multi-objective shark smell optimization algorithm using composite angle cosine is proposed for automatic train operation (ATO). Specifically, when solving the problem that the automatic train operation velocity trajectory optimization easily falls into local optimum, the shark smell optimization algorithm with strong searching ability is adopted, and composite angle cosine is incorporated. In addition, the dual-population evolution mechanism is adopted to restrain the aggregation phenomenon in shark population at the end of the iteration to suppress the local convergence. Correspondingly, the composite angle cosine, considering the numerical difference and preference difference, is used as the evaluation index, which ameliorates the shortcoming that the traditional evaluation index is not objective and reasonable. Finally, the Matlab/simulation and hardware-in-the-loop simulation (HILS) results for automatic train operation show that the improved optimization algorithm proposed in this paper has better optimization performance.

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A Novel Platform for Powertrain Modeling of Electric Cars With Experimental Validation Using Real-Time Hardware in the Loop (HIL): A Case Study of GM Second Generation Chevrolet Volt

Cited by 40 publications

References 25 publications

A Novel Finite-Control-Set Model Predictive Directive Torque Control Strategy of Permanent Magnet Synchronous Motor with Extended Output

A Novel Finite-Control-Set Model Predictive Directive Torque Control Strategy of Permanent Magnet Synchronous Motor with Extended Output

Power-HIL Application Analysis of a 3-level Inverter for PMSM Machine

Multi-Objective Shark Smell Optimization Algorithm Using Incorporated Composite Angle Cosine for Automatic Train Operation

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