Direct Electric Drive Control for Electric Vehicles

为了推进绿色、清洁、可负担的能源和环境时代，开发一种直接电驱动控制框架势在必行，作为先进电驱动控制策略的典范转变，为电机提供更高的控制带宽、更低的电流畸变和更低的器件开关频率等有前途的特性。有了这些可实现的性能规格，这种用于车载电动机的新控制算法将显著提高能量转换效率，提供更高的功率/扭矩密度和更平稳的速度/电流/扭矩调节性能，从而大大延长电池寿命，实现更广泛的驾驶场景，并通过减少不必要的噪音，振动和车辆的粗糙度（NVH）来提高用户舒适度和车辆耐久性。博士生将开发和使用这种新的设计和综合框架来实现电动汽车电机的许多有前途的性能目标，包括经济性能（例如，THD和开关频率），高控制带宽，低计算负担，性能可靠性（例如，稳定性和定性鲁棒性）和扩展功能（例如，处理状态约束，非线性和干扰的能力）。

To advance a green, clean, and affordable energy and environment era, it is imperative to develop a direct electric drive control framework as a paradigm shift of the advanced electric drive control strategy to deliver promising properties like higher control bandwidth, lower current distortion, and lower device switching frequency for electric machines. With these achievable performance specifications, this new control algorithm used in vehicle electric motors will significantly improve the energy conversion efficiency, and provide much higher power/torque density and smoother speed/current/torque regulation performance, which will substantially increase battery life, enable wider range of driving scenarios, and enhance user comfort and vehicle durability by reducing unwanted noise, vibration, and harshness (NVH) of electric vehicles.The PhD student will develop and use this new design and synthesis framework to achieve many promising performance objectives of electric machines for electric vehicles including economic performance (e.g., the THD and the switching frequency), high control bandwidth, low computational burden, performance trustworthiness (e.g., stability, and qualitative robustness), and extended functionality (e.g., ability to handle state constraints, nonlinearities, and disturbances).