A Novel Integrated Topology to Interface Electric Vehicles and Renewable Energies with the Grid

Electric Vehicles (EVs) are an alternative to internal combustion engine cars to reduce the environmental impact of transportation. It is common to use several power sources to achieve the requirements of the electric motor. A proper power converter and an accurate control strategy need to be utilized to take advantage of the characteristics of every source. In this paper is presented a novel topology of a multiple-input bidirectional DC-DC power converter to interface two or more sources of energy with different voltage levels. Furthermore, it can be used as a buck or a boost in any of the possible conversion of energy. It is also possible to independently control the extracted power in each source and any combination of the elements of the system can be used as source and destiny for a transfer. Finally, the interaction with the grid is possible. The operation, analysis and design of the converter are presented with different modes of power transfer. Simulation results are shown where the theoretical analysis of the converter is validated.

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Design of a DC/DC Power Converter for Li-ion Battery/Supercapacitor Hybrid Energy Storage System in Electric Vehicles

2020 IEEE Vehicle Power and Propulsion Conference (VPPC) ◽

10.1109/vppc49601.2020.9330905 ◽

2020 ◽

Author(s):

Lakhdar Mamouri ◽

Tedjani Mesbahi ◽

Patrick Bartholomeus ◽

Theophile PAUL

Keyword(s):

Electric Vehicles ◽

Storage System ◽

Energy Storage System ◽

Power Converter ◽

Li Ion Battery ◽

Hybrid Energy ◽

Hybrid Energy Storage ◽

Hybrid Energy Storage System ◽

Dc Power ◽

Li Ion

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Analysis and design of a simple digital control algorithm for a phase-shift full-bridge DC-DC power converter

12th IEEE International Power Electronics Congress ◽

10.1109/ciep.2010.5598908 ◽

2010 ◽

Cited By ~ 8

Author(s):

David R. Lopez-Flores ◽

Jose L. Duran-Gomez ◽

Roberto Herrera-Salcedo ◽

Jose A. Pineda-Gomez

Keyword(s):

Phase Shift ◽

Digital Control ◽

Control Algorithm ◽

Power Converter ◽

Analysis And Design ◽

Dc Power

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Energy Optimal Routing of a Delivery Vehicle Fleet With Diverse Powertrains

Volume 1: Advanced Driver Assistance and Autonomous Technologies; Advances in Control Design Methods; Advances in Robotics; Automotive Systems; Design, Modeling, Analysis, and Control of Assistive and Rehabilitation Devices; Diagnostics and Detection; Dynamics and Control of Human-Robot Systems; Energy Optimization for Intelligent Vehicle Systems; Estimation and Identification; Manufacturing ◽

10.1115/dscc2019-9056 ◽

2019 ◽

Cited By ~ 1

Author(s):

Mukilan T. Arasu ◽

Hamza Anwar ◽

Qadeer Ahmed ◽

Giorgio Rizzoni

Keyword(s):

Electric Vehicles ◽

Combustion Engine ◽

Route Planning ◽

Route Optimization ◽

Traffic Incidents ◽

Power Sources ◽

Traffic Lights ◽

Route Information ◽

Management Optimization ◽

Static Conditions

Abstract In this paper, an algorithm framework is developed to find energy-optimal routes for a mixed fleet of delivery vehicles. The fleet could be composed of Battery Electric Vehicles (BEVs), Hybrid Electric Vehicles (HEVs), and Internal Combustion Engine-powered conventional Vehicles (ICEVs) operating over the same service area from a common depot. Additionally, in the case of an HEV, the onboard energy management optimization determines the power split between the power sources on the vehicle based on the route information available. The framework presented in this paper takes into account information related to static conditions (such as topography, payload, and driving distance) and dynamic driving conditions (such as traffic incidents and traffic lights). The route optimization can then be done for various cost functions such as energy consumption, operating costs or maximizing goods throughput. The simulation results demonstrate elements of the route planning framework for benchmark grid problems and real-world road maps.

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