A performance study of a high-torque induction motor designed for light electric vehicles applications

Camargos, Pedro H.; Caetano, Ricardo Elias

doi:10.1007/s00202-021-01331-4

Cited by 9 publications

(1 citation statement)

References 30 publications

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“…A large number of scholars have conducted research in order to improve the comprehensive performance and matching applications of power system components. Camargos, P.H et al [23] designed an induction motor for the electric propulsion system of light electric vehicles, and through the dynamic simulation of an IM (induction motor), PM-A (permanent magnet motor-A), and PM-B three types of motors in the Advisor software, the results show that the IM had a higher starting torque, and the comprehensive performance of IM was better than that of PM-A and PM-B in the analyzed driving cycles. There is usually vibration noise caused by fluctuations when the motor is running [24].…”

Section: Introductionmentioning

confidence: 99%

Study of a Hybrid Vehicle Powertrain Parameter Matching Design Based on the Combination of Orthogonal Test and Cruise Software

Wang

Liu

et al. 2023

Sustainability

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In order to further improve the power and fuel economy of hybrid vehicles, this paper proposes a method of hybrid vehicle powertrain matching by combining orthogonal tests with Cruise software, supplemented by the control strategy formulation of critical components of the whole vehicle on the MATLAB/Simulink platform. Considering the influence of vehicle engine, electric motor, battery and overall mass on the powertrain design, the L9(34)-type orthogonal table is selected for the orthogonal test design. After verifying the feasibility and accuracy of each design solution of the powertrain, the different design solutions are simulated for power and economic performance. Finally, the best performance indicators of the vehicle are as follows: the maximum speed is 183.35 km/h, the 0–100 km/h acceleration time is 6.87 s, and the maximum degree of climbing is 39.65 percent. The fuel consumption of 100 km is 3.47 L. The optimal solution was compared with the third-generation Harvard H6 and AITO M5 in terms of fuel saving and emission reduction, and it was found that for every 15,000 km driven, it is expected to save 469.5 L of fuel and 109.5 L of CO2, respectively, which can reduce fuel use and emission by about 1051.21 kg and 245.17 kg CO2, respectively. This simulation experiment can reduce the workload of traditional power system matching. It can provide ideas for power system matching and optimization for Corun CHS Technology Co., Ltd. (Foshan City, Guangdong Province, China) and offer a certain degree of reference for hybrid vehicle power system design and simulation.

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Section: Introductionmentioning

confidence: 99%