Loss minimizing and saturation dependent control of induction machines in vehicle applications

T. Windisch, W. Hofmann
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引用次数: 10

Abstract

Modern variable-speed induction machine drives are widely used in traction applications such as hybrid or fully-electric road vehicles despite their lower efficiency compared to interior permanent magnet synchronous machine drives. The machine terminals are fed by a voltage source inverter that implements a field-oriented current control. The rotor flux and torque producing current component can be controlled independently and should be optimized to achieve maximum efficiency in all operating points. This work presents an approach to calculate the loss distribution in the machine and the inverter explicitly. Special focus is set on the consideration of magnetic saturation with the help of a 2D magnetostatic finite-element calculation. The solutions of the optimization problems are stored in look-up-tables. The control uses them to modify the flux level for minimal total losses over the whole speed range respecting the current and voltage limits. The control structure can be implemented easily and gives optimal results for machine parameters disregarding temperature effects. To adapt to heating of the machine it is then enhanced by a new discrete search algorithm based on a simplex state machine. Simulation results for both methods are provided and compared to standard operation. The combination of model-based loss minimization and search control seems most promising to reach true loss minimal operation.
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感应电机在车辆应用中的损耗最小化和饱和相关控制
现代变速感应电机驱动器广泛应用于牵引应用,如混合动力或全电动道路车辆,尽管其效率低于内部永磁同步电机驱动器。机器终端由电压源逆变器供电,该逆变器实现面向磁场的电流控制。转子磁链和产生转矩的电流组件可以独立控制,并应优化以在所有工作点实现最大效率。本文提出了一种明确计算电机和逆变器损耗分布的方法。在二维静磁有限元计算的帮助下,特别关注了磁饱和的考虑。优化问题的解存储在查找表中。控制使用它们来修改磁通水平,使整个速度范围内的总损耗最小,并尊重电流和电压的限制。该控制结构易于实现,并能在不考虑温度影响的情况下对机器参数进行优化。为了适应机器的加热,采用一种新的基于单纯形状态机的离散搜索算法对其进行了增强。给出了两种方法的仿真结果,并与标准操作进行了比较。基于模型的损失最小化和搜索控制的结合似乎最有希望达到真正的损失最小化操作。
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