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Thomas Holdstock

Researcher at University of Surrey

Publications -  8
Citations -  247

Thomas Holdstock is an academic researcher from University of Surrey. The author has contributed to research in topics: Electric motor & Drivetrain. The author has an hindex of 5, co-authored 6 publications receiving 214 citations.

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Analysis and simulation of the gearshift methodology for a novel two-speed transmission system for electric powertrains with a central motor

TL;DR: In this paper, the authors propose an electric powertrain layout for use in either fully electric vehicles or fully electric cars, which consists of a central electric motor drive, a single-speed transmission and a differential.
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Optimization of a Multiple-Speed Transmission for Downsizing the Motor of a Fully Electric Vehicle

TL;DR: In this paper, the effects of downsizing the electric motor drive of a fully electric vehicle through the adoption of a multiple-speed transmission system were investigated using simulation framework in Matlab/Simulink.
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A novel clutchless multiple-speed transmission for electric axles

TL;DR: In this article, the authors present a four-speed transmission system that can be concurrently driven by two electric motor drives, for use in fully electric vehicles or electric axles for through-the-road parallel hybrid electric vehicles, which allows the electric motors to work in their high efficiency region for a longer period during a typical driving schedule.
Proceedings ArticleDOI

Energy consumption analysis of a novel four-speed dual motor drivetrain for electric vehicles

TL;DR: In this article, a four-speed, dual motor drivetrain design is presented, which works on the principle of two double-speed transmissions, each driven by a separate motor linked through a sole secondary shaft.
Journal ArticleDOI

Linear and non-linear methods to analyse the drivability of a through-the-road parallel hybrid electric vehicle

TL;DR: In this paper, the simulation of the low frequency drivability of through-the-road parallel (TTRP) hybrid electric vehicles (HEVs) is presented, and the results are analyzed to study acceleration and jerk profiles, and understand the anti-jerk control system fundamentals through linearisation methods.