Simulation of BLDC Motor Drive Systems for Electric Vehicles Using Matlab Simulink

Nemes Dániel, S. Hajdu
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Abstract

The defining scientific developments of our time would not have been possible without the use of simulations. The aim of the research is to create a simulation of a BLDC motor. When creating a simulation, great emphasis must be placed on defining the purpose of the simulation. This basically determines the structure and complexity of the model. The model discussed here was created so that an optimization task could be defined more precisely by inserting it as a sub-model into a vehicle dynamics model. Scalability was another aspect, that is, to be able to increase the accuracy of the model with measured data in the future, as well as to be able to validate it. During the research, a BLDC motor efficiency map generation program was created, as well as an environment for testing the generated data. The created system gives researchers the opportunity to use a shape-correct efficiency model when simulating a BLDC motor even without measured data. This makes it possible to discover real relationships between model parameters when performing optimization.  
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基于Matlab Simulink的电动汽车无刷直流电机驱动系统仿真
如果没有模拟的使用,我们这个时代的决定性科学发展是不可能的。本研究的目的是创建一个无刷直流电机的仿真。在创建模拟时,必须非常重视定义模拟的目的。这基本上决定了模型的结构和复杂性。创建这里讨论的模型是为了通过将优化任务作为子模型插入到车辆动力学模型中来更精确地定义优化任务。可扩展性是另一个方面,即能够在将来使用测量数据提高模型的准确性,并能够对其进行验证。在研究过程中,创建了无刷直流电机效率图生成程序,以及测试生成数据的环境。该系统使研究人员有机会在模拟无刷直流电机时使用形状正确的效率模型,即使没有测量数据。这使得在执行优化时发现模型参数之间的真实关系成为可能。
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来源期刊
CiteScore
3.80
自引率
6.20%
发文量
57
审稿时长
20 weeks
期刊介绍: IJMEMS is a peer reviewed international journal aiming on both the theoretical and practical aspects of mathematical, engineering and management sciences. The original, not-previously published, research manuscripts on topics such as the following (but not limited to) will be considered for publication: *Mathematical Sciences- applied mathematics and allied fields, operations research, mathematical statistics. *Engineering Sciences- computer science engineering, mechanical engineering, information technology engineering, civil engineering, aeronautical engineering, industrial engineering, systems engineering, reliability engineering, production engineering. *Management Sciences- engineering management, risk management, business models, supply chain management.
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