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20202026
most citedA Time-invariant Network Flow Model for Two-person Ride-pooling Mobility-on-Demand

3 citations · 10 across the 12 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

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.SY2023★ 1 cited

A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain Systems

Jorn van Kampen, Mauro Salazar, Theo Hofman

This paper presents a modeling framework to optimize the two-dimensional placement of powertrain elements inside the vehicle, explicitly accounting for the rotation, relative place…

eess.SY2023

Cost-optimal Fleet Management Strategies for Solar-electric Autonomous Mobility-on-Demand Systems

Fabio Paparella, Theo Hofman, Mauro Salazar

This paper studies mobility systems that incorporate a substantial solar energy component, generated not only on the ground, but also through solar roofs installed on vehicles, dir…

math.OC2023★ 3 cited

A Time-invariant Network Flow Model for Two-person Ride-pooling Mobility-on-Demand

Fabio Paparella, Leonardo Pedroso, Theo Hofman +1

This paper presents a time-invariant network flow model capturing two-person ride-pooling that can be integrated within design and planning frameworks for Mobility-on-Demand system…

math.OC2023★ 2 cited

Optimal Endurance Race Strategies for a Fully Electric Race Car under Thermal Constraints

Jorn van Kampen, Thomas Herrmann, Theo Hofman +1

This paper presents a bi-level optimization framework to compute the maximum-distance race strategies for a fully electric endurance race car, whilst accounting for the low-level v…