Shruthi Mukundan
University of Windsor
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Featured researches published by Shruthi Mukundan.
international electric machines and drives conference | 2015
K. Lakshmi Varaha Iyer; Shruthi Mukundan; Himavarsha Dhulipati; Kaushik Mukherjee; Bruce Minaker; Narayan C. Kar
Understanding the need for improvement in efficiency of an electric vehicle drivetrain system, this paper exclusively discusses various design aspects of a permanent magnet machine drive for direct-drive electric vehicles (EV). Firstly, the motivation to employ a direct-drive configuration in EV is discussed. Thereafter, initial electric machine rating design considerations for a typical Supermini or B-segment EV employing a direct-drive configuration is discussed. Furthermore, employing an existing stator, investigations are performed through analytical equations and designed machines to understand different permanent magnet machine design aspects with regards to selection of: number of poles, type of permanent magnet rotor, stator winding configuration and number of phases. The study performed here will assist in providing decision points on various structural design indices of the machine before venturing into the FEA based permanent magnet machine design and assessment for the direct-drive EV application.
international conference on electrical machines | 2016
Himavarsha Dhulipati; K. Lakshmi Varaha Iyer; Shruthi Mukundan; Kaushik Mukherjee; Jimi Tjong; Narayan C. Kar
Surface Permanent Magnet (SPM) synchronous machines with fractional slot concentrated windings (FSCW) have been found to provide high torque density with low torque ripple and cogging torque, making them suitable for direct-drive electric vehicle (EV) application. This paper initially analyses a 3-phase 36/30 FSCW SPM machine for direct-drive application in terms of its space harmonics, steady-state characteristics and losses over a wide speed range using winding function theory and MTPA control in conjunction with finite element analysis (FEA). It was found that the 3-phase machine produces high space harmonics in the flux density which resulted in increased magnet eddy current loss and high stator leakage inductance which leads to extended constant power speed range (CPSR) as well. Since, the CPSR requirement for a direct-drive EV motor is lesser than that of a high-speed EV motor, there is scope for reducing the stator leakage inductance. Hence, a 6-phase 36/30 FSCW SPM machine employing the same stator, rotor and current rating as that of the 3-phase machine is investigated in an effort to reduce space harmonics, stator leakage inductance and magnet eddy current losses while delivering the desired output characteristics. Also, an analytical method to calculate the 6-phase machine d- and q-axis inductances from winding and slot permeance functions are proposed. Thereafter, a comparative performance analysis is conducted on both the 3-phase and 6-phase machines designed and results are discussed.
IEEE Transactions on Magnetics | 2018
Youliang He; Mehdi Mehdi; Erik J. Hilinski; Afsaneh Edrisy; Shruthi Mukundan; Aida Mollaeian; Narayan C. Kar
Non-oriented electrical steels are indispensable materials for use in electric motors as magnetic cores. It is desired that the magnetic properties of the steel sheets be optimal and uniform in all the directions in the sheet plane. Thus, knowing the magnetic properties of the steel sheets in all the directions is crucial for the design of the electric motors. However, the magnetic properties of non-oriented electrical steels are usually measured by standard Epstein frame method, which normally only gives the overall magnetic properties in the rolling and transverse directions, and the magnetic properties in other directions are usually not known. In this research, magnetic Barkhausen noise (MBN) technique is utilized to characterize the local magnetic response of the processed non-oriented electrical steel. By rotating the MBN sensor to all the directions in the sheet plane, the local magnetic responses are obtained. The measured MBN is then directly compared to the crystallographic texture (texture factor) measured in the same direction. In this way, the local magnetic response of the steel sheet can be correlated to the crystallographic texture. It was found that magnetic Barkhausen noise technique was able to detect the difference in magnetic response induced by magnetocrystalline anisotropy if the effect of the residual stress can be eliminated. This would provide a potential technique for the characterization of magnetic properties of non-oriented electrical steel.
international conference on electrical machines | 2016
K. Lakshmi Varaha Iyer; Himavarsha Dhulipati; Shruthi Mukundan; Kaushik Mukherjee; Jimi Tjong; Narayan C. Kar
Removal of the gear-box from a conventional all-electric vehicle (EV) power-train and incorporating direct-drive topology is expected to improve motor-to-wheel efficiency. Firstly, this paper discusses the merits and challenges of a novel direct-drive scheme employing a single on-board motor in an EV. Thereafter, motor design targets established for such an application in a typical super-mini EV are discussed. A novel bottom-up approach based on maximum-torque-per-ampere (MTPA) control and winding function theories of PM machines is proposed to design an on-board direct-drive surface permanent magnet (PM) machine with fractional-slot concentrated-windings in the stator. A typical direct-drive motor is designed employing the proposed approach and its performance is analyzed using its electromagnetic model in conjunction with finite element analysis and MTPA control scheme over the entire speed range of the motor. Comparative analysis of results obtained from analytical calculations and finite element analysis is performed. It is also shown that the proposed direct-drive scheme in EV is worth considering for advancement of state-of-the-art EV drive-train systems technology.
international conference on electrical machines | 2016
Shruthi Mukundan; K. Lakshmi Varaha Iyer; Himavarsha Dhulipati; Kaushik Mukherjee; Jimi Tjong; Narayan C. Kar
Direct-drive electric vehicle motors have requirements such as high-torque, low-speed and a constant power speed range (CPSR) between 3 and 5 depending on the tire size. Furthermore, these motors must deliver lower cogging torque and torque ripple when compared to conventional electric vehicle high-speed motors due to absence of any damping mechanism. Surface permanent magnet synchronous machines (SPMSMs) with distributed winding configuration are found to favor the aforementioned characteristics for the above application. However, in spite of the lower CPSR requirements for direct-drive application, SPMSMs suffer from poor flux weakening operation. Various rotor structural modifications as well as optimal PM sizing solutions are proposed in literature. However, they fail to take into account the stator slotting effect which significantly affects the flux weakening operation of the machine. Thus, in order to alleviate the challenges involved in realizing a SPMSM as a direct-drive motor, Response Surface Methodology (RSM) is implemented with magnet size and stator slot dimensions as design variables in an effort to optimize the characteristic current and further enhance the CPSR of the machine. Finite element models of the optimal machine are used to verify the output power- and torque-speed characteristics over entire operating range calculated from analytical equations.
SAE International Journal of Alternative Powertrains | 2018
Lakshmi Varaha Iyer; Chunyan Lai; Himavarsha Dhulipati; Shruthi Mukundan; Kaushik Mukherjee; Narayan C. Kar
International Transactions on Electrical Energy Systems | 2018
Lakshmi Varaha Iyer; Chunyan Lai; Himavarsha Dhulipati; Shruthi Mukundan; Kaushik Mukherjee; Jimi Tjong; Narayan C. Kar
International Journal of Powertrains | 2018
K. Lakshmi Varaha Iyer; Chunyan Lai; Shruthi Mukundan; Himavarsha Dhulipati; Kaushik Mukherjee; Narayan C. Kar
IEEE Transactions on Vehicular Technology | 2018
Lakshmi Varaha Iyer; Chunyan Lai; Shruthi Mukundan; Himavarsha Dhulipati; Kaushik Mukherjee; Narayan C. Kar
IEEE Transactions on Energy Conversion | 2018
Shruthi Mukundan; Himavarsha Dhulipati; Chunyan Lai; Kaushik Mukherjee; Jimi Tjong; Narayan C. Kar