Semi-Active Vibration Control for in-Wheel Switched Reluctance Motor Driven Electric Vehicle With Dynamic Vibration Absorbing Structures: Concept and Validation

Xu, Bugong; Chen, Xiang; Qin, Yechen; Ding, Peng; Dong, Ming

doi:10.1109/access.2018.2875197

Cited by 35 publications

(23 citation statements)

References 51 publications

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“…The DVAS-based IWM suspension system has been well studied by previous researchers and can be regarded as a potential solution to the downsides of IWMs [15,16]. The structure of the tire-type DVAS-based IWM suspension system is listed in Fig.…”

Section: The Dvas Modelmentioning

confidence: 99%

“…3, the first step in the GSA is to determine the candidate parameters and system responses. For the primary purpose is to investigate the effect of component parameters on an IWM suspension system, all the candidate parameters are listed in the second column of Table 2; the nominal values of these parameters are from the literature [15,16]. For the range of both the stator and rotor masses, which are related to the power requirements and restricted by the wheel hub dimensions, the variation is set within the range from + 20 to − 20%.…”

Section: Gsa Settingmentioning

confidence: 99%

“…Apart from the candidate parameter, the system responses also need to be determined; these responses, as well as the corresponding abbreviations, are tabulated in Table 3. In this paper, the first three indexes in Table 3 are widely used for the traditional suspension system evaluation, and the two latter indexes are for the IWM installed inside the wheel [16]. The reasons for these choices can be interpreted as follows: (1) SA corresponds to the vibration of the motor system, and a higher SA will result in premature fatigue failure and component damage [16], and (2) motor eccentricity represents the distance between motor and rotor, and an excessive Gap variation may result in contact with and damage to the stator body, as well as damage to the rotor.…”

Section: Gsa Settingmentioning

confidence: 99%

“…It shows great potential for active vibration control, and a representative DVAS-based IWM suspension system is shown in Fig. 1 [15,16].…”

Section: Introductionmentioning

confidence: 99%

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Comprehensive Analysis and Optimization of Dynamic Vibration-Absorbing Structures for Electric Vehicles Driven by In-Wheel Motors

et al. 2019

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Distributed-drive electric vehicles (EVs) replace internal combustion engine with multiple motors, and the novel configuration results in new dynamic-related issues. This paper studies the coupling effects between the parameters and responses of dynamic vibration-absorbing structures (DVAS) for EVs driven by in-wheel motors (IWM). Firstly, a DVAS-based quarter suspension model is developed for distributed-drive EVs, from which nine parameters and five responses are selected for the coupling effect analysis. A two-stage global sensitivity analysis is then utilized to investigate the effect of each parameter on the responses. The control of the system is then converted into a multiobjective optimization problem with the defined system parameters being the optimization variables, and three dynamic limitations regarding both motor and suspension subsystems are taken as the constraints. A particle swarm optimization approach is then used to either improve ride comfort or mitigate IWM vibration, and two optimized parameter sets for these two objects are provided at last. Simulation results provide in-depth conclusions for the coupling effects between parameters and responses, as well as a guideline on how to design system parameters for contradictory objectives. It can be concluded that either passenger comfort or motor lifespan can be reduced up to 36% and 15% by properly changing the IWM suspension system parameters.This section introduces the two-step GSA and analyzes the effects each parameter has on the system response characteristics.

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Section: The Dvas Modelmentioning

confidence: 99%

Section: Gsa Settingmentioning

confidence: 99%

Section: Gsa Settingmentioning

confidence: 99%

“…It shows great potential for active vibration control, and a representative DVAS-based IWM suspension system is shown in Fig. 1 [15,16].…”

Section: Introductionmentioning

confidence: 99%

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Comprehensive Analysis and Optimization of Dynamic Vibration-Absorbing Structures for Electric Vehicles Driven by In-Wheel Motors

et al. 2019

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“…The driving system of switched reluctance motor (SRM) has the advantages of simple structure, low cost, and inherent fault tolerance performance, making it becomes one of the best options for driving system of electric vehicle, renewable energy harvesting, aircraft generators, and other industrial applications [1], [2].…”

Section: Introductionmentioning

confidence: 99%

Modeling, Simulation and Experimental Verification of Four-Phase 8/6 Switched Reluctance Motor Considering Interactive Excitation

Zhu

Jia

2020

IEEE Access

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In the single-phase excitation mode of a four-phase 8/6 switched reluctance motor (SRM), the switch angle for each phase is usually high enough to improve the performance of the SRM, which can directly result in overlapping in excitation periods of each adjacent phase. Ignoring the torque variation caused by magnetic coupling between adjacent charged phases during excitation overlap period, which is a general method to establish the model of SRM currently, would greatly influence the accuracy of the simulation model. Aiming at the problem of the general modeling method, a new SRM ontology modeling method is proposed by considering overlapping excitation, based on nonlinear mathematical model established by means of mutual inductance which could influence the electromagnetic characteristics of SRM. Firstly, the reason of interactive excitation and the distribution of the magnetic field are analyzed by (FEM), and the mathematical model is also developed. Then, the detailed static characteristics including mutual inductance and torque are analyzed based on the results of FEM, which are compared with those of the model without considering the effects of interactive excitation. Furthermore, the dynamic simulation model of SRM drive system (SRD) is built, and the simulation results are analyzed and compared with those of the traditional model. Finally, a static experiment is designed and performed to verify the mutual inductance and static torque under long magnetic circuit (LMC) and short magnetic circuit (SMC) in interactive excitation. The comparison results show that the data from experiment are greatly consistent with those from FEM, and the characteristics of mutual inductance and torque under interactive excitation should be considered when establishing the model of SRM. INDEX TERMS Switched reluctance motor, modeling method, interactive excitation, electromagnetic characteristics.

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Modeling of SRM Drive System for EV

Zhu

2021

Recent Advancements in Connected Autonomous Vehicle Technologies

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Semi-Active Vibration Control for in-Wheel Switched Reluctance Motor Driven Electric Vehicle With Dynamic Vibration Absorbing Structures: Concept and Validation

Cited by 35 publications

References 51 publications

Comprehensive Analysis and Optimization of Dynamic Vibration-Absorbing Structures for Electric Vehicles Driven by In-Wheel Motors

Comprehensive Analysis and Optimization of Dynamic Vibration-Absorbing Structures for Electric Vehicles Driven by In-Wheel Motors

Modeling, Simulation and Experimental Verification of Four-Phase 8/6 Switched Reluctance Motor Considering Interactive Excitation

Modeling of SRM Drive System for EV

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