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20202024
most citedControl and Design Optimization of an Electric Vehicle Transmission Using Analytical Modeling Methods

1 citations · 2 across the 5 of their papers we have counts for

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6 papers · 1 filter

eess.SY2024

Geometric Scaling Laws for Axial Flux Permanent Magnet Motors in In-Wheel Powertrain Topologies

Olaf Borsboom, Arnab Bhadra, Mauro Salazar +1

In this paper, we present geometric scaling models for axial flux motors (AFMs) to be used for in-wheel powertrain design optimization purposes. We first present a vehicle and powe…

eess.SY2023★ 1 cited

Effective Scaling of High-Fidelity Electric Motor Models for Electric Powertrain Design Optimization

Olaf Borsboom, Martijn Lokker, Mauro Salazar +1

In general, electric motor design procedures for automotive applications go through expensive trial-and-error processes or use simplified models that linearly stretch the efficienc…

eess.SY2022★ 1 cited

Control and Design Optimization of an Electric Vehicle Transmission Using Analytical Modeling Methods

Olaf Borsboom, Thijs de Mooy, Mauro Salazar +1

This paper introduces a framework to systematically optimize the control and design of an electric vehicle transmission, connecting powertrain sizing studies to detailed gearbox de…

eess.SY2022

Electric Motor Design Optimization: A Convex Surrogate Modeling Approach

Olaf Borsboom, Mauro Salazar, Theo Hofman

This paper instantiates a convex electric powertrain design optimization framework, bridging the gap between high-level powertrain sizing and low-level components design. We focus…

eess.SY2021

Optimal Design of Electric Micromobility Vehicles

Olaf Korzilius, Olaf Borsboom, Theo Hofman +1

This paper presents a modeling and optimization framework to design battery electric micromobility vehicles, minimizing their total cost of ownership (TCO). Specifically, we first…

eess.SY2020

Time-optimal Control Strategies for Electric Race Cars with Different Transmission Technologies

Olaf Borsboom, Chyannie A. Fahdzyana, Mauro Salazar +1

This paper presents models and optimization methods to rapidly compute the achievable lap time of a race car equipped with a battery electric powertrain. Specifically, we first der…