Design of a multi-phase inverter for low voltage high power electric vehicles

2014 ◽  
Author(s):  
Adrian Patzak ◽  
Dieter Gerling
Keyword(s):  
Electric Vehicles ◽  
High Power ◽  
Low Voltage ◽  
Phase Inverter ◽  
Multi Phase

Low voltage and high power DC-AC inverter topologies for electric vehicles

2013 ◽  
Author(s):  
Rashidreza Karimi ◽  
Thies Koeneke ◽  
Dennis Kaczorowski ◽  
Timur Werner ◽  
Axel Mertens
Keyword(s):  
Electric Vehicles ◽  
High Power ◽  
Low Voltage

scholarly journals A Wireless Multicoil Charging System for Low-Voltage Electric Vehicle Applications

2021 ◽  
Vol 12 (4) ◽  
pp. 172
Author(s):  
Lukas Elbracht ◽  
Jannis Noeren ◽  
Nejila Parspour
Keyword(s):  
Boundary Conditions ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
High Power ◽  
Low Voltage ◽  
Drive Train ◽  
Entire System ◽  
Electrical Simulation ◽  
Charging System ◽  
Various Boundary Conditions

In order to inductively charge electric vehicles, which are based on a low-voltage drive train, high currents have to be overcome. This work describes a simulative approach to charge 48 V-based electric vehicles wirelessly with high power. A system was designed on the basis of various boundary conditions and validated by simulation. In order to increase the transmittable power, the system was investigated for an extendable approach and was examined for modularity. In particular, the influences of the secondary coils on each other must be taken into account. Finally, the entire system was evaluated by physical and electrical simulation.

A review of high-power magnetoplasmodynamic electric propulsion designs and studies of RSC Energia

2020 ◽  
pp. 112-133
Author(s):  
Victor V. SINYAVSKIY
Keyword(s):  
Service Life ◽  
Electric Power ◽  
High Power ◽  
Electric Propulsion ◽  
Nuclear Power ◽  
Materials Science ◽  
Low Voltage ◽  
Power Input ◽  
Design Bureau ◽  
Rocket Propulsion

At the initiative of S.P.Korolev, in 1959, Special Design Bureau No.1 (now RSC Energia) established the High-temperature Power Engineering and Electric Propulsion Center which was tasked with development of nuclear electric propulsion for heavy interplanetary vehicles. Selected as the source of electric power was a nuclear power unit based on a thermionic converter reactor, and selected as the engine was a stationary low-voltage magnetoplasmodynamic (MPD) high-power (0.5–1.0 MW) thruster which had thousands of hours of service life. The paper presents the results of extensive efforts in research, development, design, materials science experiments, and tests on the MPD-thruster, including the results of development and 500-hours life tests of an MPD-thruster with a 500-600 kW electric power input that used lithium propellant. The world’s first lithium 17 kW MPD-thruster was built and successfully tested in space. The paper points out that to this day nobody has surpassed the then achievements of RSC Energia neither in thruster output during long steady-state operation, nor in performance and service life. Key words: Martian expeditionary vehicle, nuclear electric rocket propulsion system, electric rocket thruster, magnetoplasmodynamic thruster, lithium, cathode, anode, barium, electric propulsion tests in space.

scholarly journals Heuristic Optimization of Overloading Due to Electric Vehicles in a Low Voltage Grid

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6069
Author(s):  
Sajjad Haider ◽  
Peter Schegner
Keyword(s):  
Electric Vehicles ◽  
Low Voltage ◽  
Optimization Methods ◽  
Monte Carlo Analysis ◽  
Heuristic Optimization ◽  
Optimization Approach ◽  
Worst Case ◽  
Voltage Drops ◽  
The Individual ◽  
Nodal Voltage

It is important to understand the effect of increasing electric vehicles (EV) penetrations on the existing electricity transmission infrastructure and to find ways to mitigate it. While, the easiest solution is to opt for equipment upgrades, the potential for reducing overloading, in terms of voltage drops, and line loading by way of optimization of the locations at which EVs can charge, is significant. To investigate this, a heuristic optimization approach is proposed to optimize EV charging locations within one feeder, while minimizing nodal voltage drops, cable loading and overall cable losses. The optimization approach is compared to typical unoptimized results of a monte-carlo analysis. The results show a reduction in peak line loading in a typical benchmark 0.4 kV by up to 10%. Further results show an increase in voltage available at different nodes by up to 7 V in the worst case and 1.5 V on average. Optimization for a reduction in transmission losses shows insignificant savings for subsequent simulation. These optimization methods may allow for the introduction of spatial pricing across multiple nodes within a low voltage network, to allow for an electricity price for EVs independent of temporal pricing models already in place, to reflect the individual impact of EVs charging at different nodes across the network.

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