Implementation of an Energy Model and a Charging Infrastructure in SUMO

Kurczveil, Tamás; López, Pablo Álvarez; Schnieder, Eckehard

doi:10.1007/978-3-662-45079-6_3

Cited by 45 publications

(38 citation statements)

References 3 publications

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“…SUMO has a built-in EV energy model and EV charging model (Kurczveil, López, & Schnieder, 2013). The model calculates the energy consumed/charged between the previous timestep and the current timestep for each EV in the simulation.…”

Section: Utility Calculationmentioning

confidence: 99%

Wireless charging utility maximization and intersection control delay minimization framework for electric vehicles

Khan

Chowdhury

et al. 2019

Computer aided Civil Eng

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This study presents the Wireless Charging Utility Maximization (WCUM) framework, which aims to maximize the utility of Wireless Charging Units (WCUs) for electric vehicle (EV) charging through the optimal WCU deployment at signalized intersections. Furthermore, the framework aims to minimize the control delay at all signalized intersections of the network. The framework consists of a two‐step optimization formulation, a dynamic traffic assignment model to calculate the user equilibrium, a traffic microsimulator to formulate the objective functions, and a global Mixed Integer Non‐Linear Programming (MINLP) optimization solver. An optimization problem is formulated for each intersection, and another for the entire network. The performance of the WCUM framework is tested using the Sioux Falls network. We perform a comparative study of 12 global MINLP solvers with a case study. Based on solution quality and computation time, we choose the Couenne solver for this framework.

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Section: Utility Calculationmentioning

confidence: 99%

Wireless charging utility maximization and intersection control delay minimization framework for electric vehicles

Khan

Chowdhury

et al. 2019

Computer aided Civil Eng

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“…The implementation of this new vehicle device is based on device.battery introduced in [5]. The main motivation of implementation is driven by our need to use overhead wires for charging the onboard battery pack of a hybrid trolleybus and for providing power for the vehicle.…”

Section: Electric Hybrid Vehiclementioning

confidence: 99%

“…The current of this current source depends on actual power requirements of the vehicle computed by the model of the electric energy consumption [5], and on the actual battery pack state of charge. At each time step of the simulation, the system of linear equations representing the currents in the whole overhead wire loop is solved by Circuit::solve() routine inspired by work [1].…”

Section: Microscopic Elechybridmentioning

confidence: 99%

“…traffic congestions, traffic accidents, closed road segments, power outages, etc. Simulator package SUMO (Simulation of Urban MObility) [6] was selected by authors as an appropriate simulation tool for verifying various adjusted scenarios, since SUMO confirmed its successful applicability to problems connected with electromobility in many examples [5,8,9,10], and since SUMO supports open source philosophy, so the potential modification of the simulator is clearly realizable.…”

mentioning

confidence: 99%

“…The current versions of SUMO come with an electric vehicle (EV) model based on work of Kurczveil and colleagues [5], with its main part being vehicle's device.battery, including the energy consumption model for EVs implemented in class MSDevice Battery, and a charging infrastructure that consists of chargingStation objects that allow also in-motion charging. Despite these extensions for EVs, it is not possible to simulate desired scenarios employing hybrid trolleybuses directly in SUMO without modifications of the simulator.…”

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confidence: 99%

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A Vehicle Device Tailored for Hybrid Trolleybuses and Overhead Wires Implementation in SUMO

Sevcik¹,

Přikryl²

EPiC Series in Computing

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The electrification of transport is one of the key parts of the present aim to reduce undesirable vehicular emissions in the atmosphere. While the full electrification of personal vehicles is mostly associated with employing a big battery pack on the board and charging on (static) charging stations, another interesting possibility appears in the case of public transport -dynamic drawing of the power from overhead wires. Regarding vehicles moving on the road, this concept is used by trolleybuses or hybrid trolleybuses, i.e. vehicles combining power from the overhead wires and batteries.A replacement of classic buses (with a combustion engine) with (hybrid) trolleybuses is hardly possible without an appropriate adjustment of public transport lines and the necessary infrastructure. For this purpose, a simulation of the adjusted public transport service may be used to identify weaknesses of the proposed solution.This paper presents a new vehicle device and a new additional part of road infrastructure in SUMO. It introduces device.elecHybrid based on existing device.battery, extending its functionality and tailoring it for the needs of hybrid trolleybuses. In addition, overhead wires and traction substations are implemented. As the voltage and electric currents in the overhead wires depend on traffic, the overhead wire parameters are optionally evaluated by a built-in electric circuit solver using Kirchhoff's laws.The proposed changes allow us to simulate hybrid trolleybus in-motion charging under the overhead wire. The extensions can be immediately used in micro-simulations or even (in a simplified version) in the meso-simulation mode.

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Semi-synthetic Data and Testbed for Long-Distance E-Vehicle Routing

Barauskas

Brilingaitė

Bukauskas

et al. 2021

New Trends in Database and Information Systems

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Electric and autonomous mobility will increasingly rely on advanced route planning algorithms. Robust testing of these algorithms is dependent on the availability of large realistic data sets. Such data sets should capture realistic time-varying traffic patterns and corresponding travel-time and energy-use predictions. Ideally, time-varying availability of charging infrastructure and vehicle-specific charging-power curves should be included in the data to support advanced planning.We contribute with a modular testbed architecture including a semi-synthetic data generator that uses a state-of-the-art traffic simulator, real traffic distribution patterns, EV-specific data, and elevation data to generate time-dependent travel-time and energy-use weights in a road-network graph. The experimental study demonstrates that the testbed can reproduce travel-time and energy-use patterns for long-distance trips similar to commercially available services.

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Implementation of an Energy Model and a Charging Infrastructure in SUMO

Cited by 45 publications

References 3 publications

Wireless charging utility maximization and intersection control delay minimization framework for electric vehicles

Wireless charging utility maximization and intersection control delay minimization framework for electric vehicles

A Vehicle Device Tailored for Hybrid Trolleybuses and Overhead Wires Implementation in SUMO

Semi-synthetic Data and Testbed for Long-Distance E-Vehicle Routing

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