Anand Jinesh
Publication
IEEE EPEPS 2024
A robust optimization approach for High Bandwidth Memory interposer using Machine Learning
Authors: Anandajith Jinesh , Xuan Chen
Conventional optimization approaches are computationally inefficient and insufficient for time-sensitive optimization exercises. This paper presents a machine learning (ML) based approach to optimize the interposer structure of High Bandwidth Memory (HBM) by optimizing channel parameters.
Publisher: IEEE
DOI : In-press
Published in: IEEE EPEPS 2024
IEEE Transactions on Transportation Electrification
Holistic Design and Development of a 100 kW SiC-Based Six-Phase Traction Inverter for an Electric Vehicle Application
Authors: Wesam Taha, Francisco Juarez-Leon, Mohamed Hefny, Anandajith Jinesh, Matthew Poulton, Berker Bilgin, Ali Emadi
Abstract : Six-phase drives are gaining popularity in electric vehicle (EV) applications owing to their superior fault-tolerance capability, modularity, and improved current handling. However, a thorough design of a six-phase traction inverter has not been investigated. As a result, inherent advantages of six-phase inverters are not exploited. This paper presents a holistic design methodology for a six-phase traction inverter. At the power device level, discrete Silicon Carbide (SiC) MOSFETs are utilized, and their electrothermal model is used to effectively size a liquid-cooled heat sink. At the DC-capacitor level, a multi-objective optimization algorithm is proposed to find the most suitable capacitor bank in terms of volume, impedance, and current capability. At the system level, coreless hall-effect current sensor integrated circuits (ICs) are proposed to mitigate the higher count of sensors in six-phase systems. At the mechanical design level, design constraints are considered to deliver a housing with an integrated coolant channel. The resultant inverter design is prototyped and experimentally tested. The proposed design demonstrates a 7% reduction in DC-capacitor volume and 21% reduction in cabling cost when compared to conventional three-phase inverters of the same volt-ampere rating. The peak power density of the prototype inverter is 70 kW/L, demonstrating a compact design.
Publisher: IEEE
DOI : 10.1109/TTE.2023.3313511
IEEE IECON 2022
On the Feasibility of SiC-based Multiphase Traction Inverters for EV Applications: A Case Study
Authors : Wesam Taha , Anandajith Jinesh , Ali Emadi
Abstract : Employment of Silicon Carbide (SiC) devices and the use of multiphase drives are two emerging trends in electric vehicle (EV) applications. However, technology assessment combining both trends for traction applications has not been thoroughly examined yet. This paper presents a quantitative and qualitative analysis to examine the feasibility of SiC-based multiphase traction inverters. Specifically, voltage source inverters (VSI) and nine switch inverters (NSI) with different phases (five-, six-, and nine-phase) are evaluated in terms of device count, dc-capacitor sizing, efficiency, power density, and cost. The multiphase inverters in the case study are rated at 100 kW considering 400 V and 800 V EV powertrains. Compared to the conventional three-phase VSI, the six-phase VSI was found to have the best feasibility. The latter enjoys reduced dc-capacitor requirements, lower ac cabling cost, and higher fault tolerance capability, while maintaining the same efficiency and power device count.
Publisher: IEEE