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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
Open AccessArticle

Definition And Optimization Of The Drive Train Topology For Electric Vehicles

Institute for Automotive Technology, Technische Universität München, Boltzmannstr. 15, 85748 Garching, Germany
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World Electr. Veh. J. 2012, 5(1), 24-35; https://doi.org/10.3390/wevj5010024
Published: 30 March 2012
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Abstract

Due to the limited range of battery electric vehicles, a low energy consumption is more desirable, than it is in conventional vehicles. To accomplish this objective the paper focuses on an increased efficiency of the drive train, its topologies and its components, as this is one of the most promising approaches. With a set of basic characteristics of the desired vehicle (such as maximum speed, acceleration, climbing ability, class and range) an optimal fitted drive train according to the energy consumption should be found. This includes number, type and power of electric machines, transmission ratios, dynamic running radius, axle load distribution and battery capacity. The general approach uses a method consisting of a developed optimization routine and a specific simulation model. The developed optimization algorithm reduces the value ranges or even the design parameters to minimize the number of iterations. This intelligent algorithm is compared to conventional optimizers like pattern search or genetic algorithms. For the vehicle model valid results are important. To ensure validity for all possible topologies, vehicle and power classes an appropriate method is presented. Each relevant component model and its respective scaling concept are validated. After validation of a vehicle model with these component models, the scalability is transferable to the entire vehicle model. Some exemplary results of the model are shown, such as the influence of axle load distribution, choice of high-energy or highpower cells and potential of longitudinal torque-vectoring for multi-motor topologies.
Keywords: BEV (battery electric vehicle); powertrain; optimization; modeling; simulation BEV (battery electric vehicle); powertrain; optimization; modeling; simulation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Pesce, T.; Lienkamp, M. Definition And Optimization Of The Drive Train Topology For Electric Vehicles. World Electr. Veh. J. 2012, 5, 24-35.

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