• Journal of Auto-vehicle Safety Association
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• v.15 no.3
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• pp.27-33
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• 2023

Electric vehicles are widely produced from many car manufacturers around the world instead of internal combustion engine vehicle in order to respond a variety of environmental regulations. Also, they are applying for modular design method to develop plenty of the vehicles. And, both of these two issues will be an important trend to lead the future global automobile industries for a long time. In this paper, new brake architecture concept is proposed in order to respond to such a situation. First, physical interfaces between brake system like caliper, disc and other counter-parts are established for modular assembly. Second, we analyze effective factors of brake system for electric vehicles which need to reflect vehicle specifications such as total vehicle weight. Here, we consider ideal brake force by critical deceleration. Third, we simulate accumulated regenerative brake energy for two main driving modes to confirm to effectiveness for a variety of Electric Vehicle. Finally, we hope that it contributes to implement brake architecture for the development of Electric Vehicle platform through such a study.

• Journal of the Korean Society for Railway
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• v.19 no.3
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• pp.314-323
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• 2016

Overhead line voltage of DC railway traction substations has rising or falling characteristics depending on the acceleration and regenerative braking of the subway train loads. The suppression of this irregular fluctuation of the line voltage gives rise to improved energy efficiency of both the railway substation and the trains. This paper presents parameter estimation schemes using the RC circuit model for an overhead line voltage at a 1500V DC electric railway traction substation. A linear artificial neural network with a back-propagation learning algorithm was trained using the measurement data for an overhead line voltage and four feeder currents. The least square estimation method was configured to implement batch processing of these measurement data. These estimation results have been presented and performance analysis has been achieved through raw data simulation.