11 citations · 39 across the 26 of their papers we have counts for
27 papers
Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation
Fabio Paparella, Theo Hofman, Mauro Salazar
The advent of autonomous driving and electrification is enabling the deployment of Electric Autonomous Mobility-on-Demand (E-AMoD) systems, whereby electric autonomous vehicles pro…
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…
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…
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…
Urgency-aware Routing in Single Origin-destination Itineraries through Artificial Currencies
Leonardo Pedroso, W. P. M. H. Heemels, Mauro Salazar
Within mobility systems, the presence of self-interested users can lead to aggregate routing patterns that are far from the societal optimum which could be achieved by centrally co…
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…
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…
Electric Autonomous Mobility-on-Demand: Joint Optimization of Routing and Charging Infrastructure Siting
Fabio Paparella, Karni Chauhan, Theo Hofman +1
The advent of vehicle autonomy, connectivity and electric powertrains is expected to enable the deployment of Autonomous Mobility-on-Demand systems. Crucially, the routing and char…
A Data-driven Pricing Scheme for Optimal Routing through Artificial Currencies
David van de Sanden, Maarten Schoukens, Mauro Salazar
Mobility systems often suffer from a high price of anarchy due to the uncontrolled behavior of selfish users. This may result in societal costs that are significantly higher compar…
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…
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…
Joint Routing and Charging Problem of Electric Vehicles with Incentive-aware Customers Considering Spatio-temporal Charging Prices
Canqi Yao, Shibo Chen, Mauro Salazar +1
This paper investigates the scheduling problem of a fleet of electric vehicles, providing mobility as a service to a set of time-specified customers, where the operator needs to so…
Optimizing Vaccine Allocation Strategies in Pandemic Outbreaks: An Optimal Control Approach
Sander Tonkens, Paul de Klaver, Mauro Salazar
Since early 2020, the world has been dealing with a raging pandemic outbreak: COVID-19. A year later, vaccines have become accessible, but in limited quantities, so that government…
Energy-optimal Design and Control of Electric Powertrains under Motor Thermal Constraints
Mouleeswar Konda, Theo Hofman, Mauro Salazar
This paper presents a modeling and optimization framework to minimize the energy consumption of a fully electric powertrain by optimizing its design and control strategies whilst e…
Maximum-distance Race Strategies for a Fully Electric Endurance Race Car
Jorn van Kampen, Thomas Herrmann, Mauro Salazar
This paper presents a bi-level optimization framework to compute the maximum-distance stint and charging strategies for a fully electric endurance race car. Thereby, the lower leve…
Minimum-lap-time Control Strategies for All-wheel Drive Electric Race Cars via Convex Optimization
Stan Broere, Jorn van Kampen, Mauro Salazar
This paper presents a convex optimization framework to compute the minimum-lap-time control strategies of all-wheel drive (AWD) battery electric race cars, accounting for the grip…
Incentive-aware Electric Vehicle Routing Problem: a Bi-level Model and a Joint Solution Algorithm
Canqi Yao, Shibo Chen, Mauro Salazar +1
Fixed pickup and delivery times can strongly limit the performance of freight transportation. Against this backdrop, fleet operators can use compensation mechanisms such as monetar…
Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting
Justin Luke, Mauro Salazar, Ram Rajagopal +1
Charging infrastructure is the coupling link between power and transportation networks, thus determining charging station siting is necessary for planning of power and transportati…
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…
Energy-optimal Design and Control of Electric Vehicles' Transmissions
Juriaan van den Hurk, Mauro Salazar
This paper presents models and optimization algorithms to jointly optimize the design and control of the transmission of electric vehicles equipped with one central electric motor…
Urgency-aware Optimal Routing in Repeated Games through Artificial Currencies
Mauro Salazar, Dario Paccagnan, Andrea Agazzi +2
When people choose routes minimizing their individual delay, the aggregate congestion can be much higher compared to that experienced by a centrally-imposed routing. Yet centralize…
Transmission Ratio Design for Electric Vehicles via Analytical Modeling and Optimization
Theo Hofman, Mauro Salazar
In this paper we present an effective analytical modeling approach for the design of the transmission of electric vehicles. Specifically, we first devise an analytical loss model f…
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…
Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic
Salomón Wollenstein-Betech, Arian Houshmand, Mauro Salazar +3
This paper studies congestion-aware route-planning policies for Autonomous Mobility-on-Demand (AMoD) systems, whereby a fleet of autonomous vehicles provides on-demand mobility und…