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Found 28 papers, 2 papers with code
Multi-objective Optimal Trade-off Between V2G Activities and Battery Degradation in Electric Mobility-as-a-Service Systems
This paper presents optimization models for electric Mobility-as-a-Service systems, whereby electric vehicles not only provide on-demand mobility, but also perform charging and Vehicle-to-Grid (V2G) operations to enhance the fleet operator profitability.
A Model Predictive Control Scheme for Flight Scheduling and Energy Management of Electric Aviation Networks
This paper presents a Model Predictive Control (MPC) scheme for flight scheduling and energy management of electric aviation networks, where electric aircraft transport passengers between electrified airports equipped with sustainable energy sources and battery storage, with the goal of minimizing grid dependency.
On Accessibility Fairness in Intermodal Autonomous Mobility-on-Demand Systems
Our results show that it is possible to reach an operation that is on average fully fair at the cost of a slight travel time increase compared to a minimum-travel-time solution.
Model Predictive Control Strategies for Electric Endurance Race Cars Accounting for Competitors Interactions
This paper presents model predictive control strategies for battery electric endurance race cars accounting for interactions with the competitors.
Ride-pooling Electric Autonomous Mobility-on-Demand: Joint Optimization of Operations and Fleet and Infrastructure Design
Our results indicate that jointly optimizing the charging infrastructure placement allows to decrease overall energy consumption of the fleet and vehicle hours traveled by approximately 1% compared to an heuristic placement.
A Time-invariant Network Flow Model for Ride-pooling in Mobility-on-Demand Systems
The resulting problem structure remains identical to a standard network flow model, a linear problem, which can be solved in polynomial time for a given ride-pooling request assignment.
Time-optimal Design and Control of Electric Race Cars Equipped with Multi-speed Transmissions
This paper presents a framework to jointly optimize the design and control of an electric race car equipped with a multiple-gear transmission, specifically accounting for the discrete gearshift dynamics.
Congestion-aware Ride-pooling in Mixed Traffic for Autonomous Mobility-on-Demand Systems
This paper presents a modeling and optimization framework to study congestion-aware ride-pooling Autonomous Mobility-on-Demand (AMoD) systems, whereby self-driving robotaxis are providing on-demand mobility, and users headed in the same direction share the same vehicle for part of their journey.
Joint Optimization of Charging Infrastructure Placement and Operational Schedules for a Fleet of Battery Electric Trucks
For a case study in the Netherlands, we assess the impact of different parameters in our optimization problem, specifically, the allowed deviation from existing operations with conventional diesel trucks and the cost factor for daily peak energy usage.
Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation
To this end, this paper presents a framework to jointly optimize the fleet design in terms of battery capacity and number of vehicles, and the operational strategies of the E-AMoD system, with the aim of maximizing the operator's total profit.
Electric Aircraft Assignment, Routing, and Charge Scheduling Considering the Availability of Renewable Energy
Electric airplanes are expected to take to the skies soon, finding first use cases in small networks within hardly accessible areas, such as island communities.
Effective Scaling of High-Fidelity Electric Motor Models for Electric Powertrain Design Optimization
We encapsulate this motor model in a vehicle model together with the transmission, simulate a candidate design on a drive cycle, and find an optimum through a Bayesian optimization solver.
A Two-dimensional Spatial Optimization Framework for Vehicle Powertrain Systems
This paper presents a modeling framework to optimize the two-dimensional placement of powertrain elements inside the vehicle, explicitly accounting for the rotation, relative placement and alignment.
Cost-optimal Fleet Management Strategies for Solar-electric Autonomous Mobility-on-Demand Systems
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, directly covering a portion of their energy consumption.
Urgency-aware Routing in Single Origin-destination Itineraries through Artificial Currencies
Second, we formulate the pricing design problem for each arc to achieve the societally optimal aggregate flows, and reformulate it so that it can be solved with gradient-free optimization methods.
A Data-driven Pricing Scheme for Optimal Routing through Artificial Currencies
Our numerical results show that the proposed data-driven pricing scheme can effectively align the users' flows with the system optimum, significantly reducing the societal costs with respect to the uncontrolled flows (by about 15% and 25% depending on the scenario), and respond to environmental changes in a robust and efficient manner.
Electric Autonomous Mobility-on-Demand: Joint Optimization of Routing and Charging Infrastructure Siting
The advent of vehicle autonomy, connectivity and electric powertrains is expected to enable the deployment of Autonomous Mobility-on-Demand systems.
Control and Design Optimization of an Electric Vehicle Transmission Using Analytical Modeling Methods
This paper introduces a framework to systematically optimize the control and design of an electric vehicle transmission, connecting powertrain sizing studies to detailed gearbox design methods.
Electric Motor Design Optimization: A Convex Surrogate Modeling Approach
We also identify models of the remaining components of the powertrain, namely a battery and a fixed-gear transmission.
Optimizing Vaccine Allocation Strategies in Pandemic Outbreaks: An Optimal Control Approach
In this paper, we present an optimization framework to address the dynamic double-dose vaccine allocation problem whereby the available vaccine doses must be administered to different age-groups to minimize specific societal objectives.
Energy-optimal Design and Control of Electric Powertrains under Motor Thermal Constraints
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 explicitly accounting for the thermal behavior of the Electric Motor (EM).
Maximum-distance Race Strategies for a Fully Electric Endurance Race Car
Thereby, the lower level computes the minimum-stint-time Powertrain Operation (PO) for a given battery energy budget and stint length, whilst the upper level leverages that information to jointly optimize the stint length, charge time and number of pit stops, in order to maximize the driven distance in the course of a fixed-time endurance race.
Minimum-lap-time Control Strategies for All-wheel Drive Electric Race Cars via Convex Optimization
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 limitations of the individual tyres.
Incentive-aware Electric Vehicle Routing Problem: a Bi-level Model and a Joint Solution Algorithm
Specifically, we first devise a bi-level model whereby the fleet operator optimizes the routes and charging schedules of the fleet jointly with an incentive rate to reimburse the delivery delays experienced by the customers.
Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting
Charging infrastructure is the coupling link between power and transportation networks, thus determining charging station siting is necessary for planning of power and transportation systems.
Energy-optimal Design and Control of Electric Vehicles' Transmissions
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 (EM).
Optimal Design of Electric Micromobility Vehicles
This paper presents a modeling and optimization framework to design battery electric micromobility vehicles, minimizing their total cost of ownership (TCO).
Urgency-aware Optimal Routing in Repeated Games through Artificial Currencies
In this paper we address this question within a repeated game framework and propose a fair incentive mechanism based on artificial currencies that routes selfish agents in a system-optimal fashion, while accounting for their temporal preferences.
