An Enhanced Fault-Tolerant and Autoreconfigurable BLDC Motor Drive for Electric Vehicle Applications

Kumar, Patnana Hema; Somasekhar, V. T.

doi:10.1109/jestie.2022.3196818

Cited by 24 publications

(11 citation statements)

References 31 publications

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“…Nevertheless, the tractive effort overcome all these forces to accelerate the vehicle. The expression of all these forces is shown in equation (2).…”

Section: Electric Vehicle Modellingmentioning

confidence: 99%

“…This includes the choice of motor, modulating its design and optimized control to suit EV requirements. Besides, there are some other constraints of two-wheeler EVs, such as limited energy storage of battery pack and their effective utilization, limited speed, limited range, high initial cost and the proper choice of electric motor [1,2]. EVs utilize different types of the motor such as Induction Motor (IM) [3], Switched Reluctance Motor (SRM) [4], DC motor [5], Permanent Magnet Synchronous Motor (PMSM) [6], BLDC [7] etc.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of BLDC-based electric vehicles: Vehicle dynamics modelling through dual-motor approach and designing a novel augmented TLBO algorithm for PID control

Kumar,

Bera,

Kumar

2024

Eng. Res. Express

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Sample The work primarily focuses on increasing the efficiency of EV drive in electric two-wheeler by working on several aspects, such as modulating the vehicle's design, optimizing the control strategy, and increasing the speed range using a dual-motor approach. The dynamics of electric two-wheeler have been discussed with a mathematical vehicle model and further tuning of several aspects. Besides, this paper also introduces a novel Augmented Teaching and Learning based Optimization (ATLBO) technique designed exclusively to control BLDC motors for the electric two-wheeler vehicle. Besides, the designed technique has been implemented for the widely used commercial e-bike of Hero Company. Therefore, an analysis has been performed to increase the vehicle's speed range using a dual motor, from 45 km/hr to 62 km/hr, proving to be a viable alternative to a single motor generally used in an electric bike. ATLBO technique has been designed against a conventional TLBO to optimize the proportional-integral-derivative (PID) controller for the speed control of a linear brushless DC (BLDC) motor. Furthermore, the literature has validated the merits of the presented novel control technique. The only disadvantage of using a dual motor is the initial cost, but the overall cost is moderated in the long-term usage for its augmented performance parameters. The performance parameters of the above technique are analyzed against other optimization techniques like conventional Teaching and Learning based optimization (TLBO), Particle Swarm Optimization (PSO). MATLAB/Simulink models the brushless DC motor and implements ATLBO, TLBO, and PSO algorithms. It has been found that the response obtained from ATLBO is comparatively much faster than other optimization techniques, which supports the motor for quick acceleration as well as more efficient in improving the step response characteristics such as rise time, settling time, and steady-state error in the speed control of a linear BLDC motor.

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“…Nevertheless, the tractive effort overcome all these forces to accelerate the vehicle. The expression of all these forces is shown in equation (2).…”

Section: Electric Vehicle Modellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of BLDC-based electric vehicles: Vehicle dynamics modelling through dual-motor approach and designing a novel augmented TLBO algorithm for PID control

Kumar,

Bera,

Kumar

2024

Eng. Res. Express

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“…A switched‐capacitor‐based multi‐level boost converter configuration that can handle OCFs in the semiconductor switches is proposed in reference 5 . A multi‐switch fault‐tolerant drive configuration is presented by the research work reported in reference, 6 which presents the multi‐switch OCF diagnosis and the corresponding reconfiguration procedure.…”

Section: Introductionmentioning

confidence: 99%

“…reported in reference, 6 which presents the multi-switch OCF diagnosis and the corresponding reconfiguration procedure.…”

mentioning

confidence: 99%

A low‐cost fault‐tolerant permanent magnet brush‐less direct current motor drive for low‐power electric vehicle applications

Kumar

Lakhimsetty

Somasekhar

2023

Circuit Theory & Apps

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SummaryThis paper proposes a fault‐tolerant power converter for a voltage source inverter (VSI)‐driven permanent magnet brush‐less direct current (PM‐BLDC) motor drive, which is suitable for low‐power electric vehicle (EV) applications. With the proposed topology, it is possible to deliver rated power to the PM‐BLDC motor even after the incidence of either an open‐circuit fault (OCF) or a short‐circuit fault (SCF) in any one of the switches, which constitute the VSI. The proposed fault‐tolerant PM‐BLDC motor drive requires fewer additional sensors and components compared to the fault‐tolerant power converters, which are reported in the previous literature. Cost analysis, carried out for a 3‐kW motor drive, reveals that an additional cost of only 5% is added to the raw material cost of the traditional PM‐BLDC motor configuration to facilitate fault tolerance. The fault‐tolerant operation of the proposed power converter is experimentally verified with a low‐power laboratory prototype.

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“…5 In high voltage motor magnet fault diagnosis, the magnet element is located in the motor core, and its signal is often submerged by environmental noise or other interference signal components. 6 Therefore, the image diagnosis method has attracted and moreattention. Due to the high dimension of the collected image data, the image diagnosis method is often hard to be processed directly, and the dimensionality reduction is widely emplayed.…”

Section: Introductionmentioning

confidence: 99%

Magnetic tile fault detection of high‐voltage electric machines: A multiview feature selection method via consistent soft label

Chen,

Yang,

Liu

et al. 2023

Circuit Theory & Apps

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Image‐based scheme has attracted wide attention in the fault detection of high‐voltage permanent magnet motors, but it often suffers from the shooting conditions. Multiview feature selection allows multisource information to be fused, which can improve the accuracy and robustness of image detection. Therefore, we propose multiview unsupervised consistency via soft‐label feature selection (MUCSFS). This method constructs consistent pseudo labels through soft labels from clustering affinity of each view sample and builds the model by integrating selection constraints into the graph model. This model filters the fault data set to obtain the feature subset, which is used for clustering. We verify the method's effectiveness by simulating multiview data. The fault clustering experiment on the high‐voltage motors' magnetic tile fault data set confirm that our method can effectively cluster the fault categories.

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An Enhanced Fault-Tolerant and Autoreconfigurable BLDC Motor Drive for Electric Vehicle Applications

Cited by 24 publications

References 31 publications

Optimization of BLDC-based electric vehicles: Vehicle dynamics modelling through dual-motor approach and designing a novel augmented TLBO algorithm for PID control

Optimization of BLDC-based electric vehicles: Vehicle dynamics modelling through dual-motor approach and designing a novel augmented TLBO algorithm for PID control

A low‐cost fault‐tolerant permanent magnet brush‐less direct current motor drive for low‐power electric vehicle applications

Magnetic tile fault detection of high‐voltage electric machines: A multiview feature selection method via consistent soft label

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