Dynamic Drive Control Scheme for Energy-Efficient Electric Drive Systems

I-Corps项目更广泛的影响/商业潜力是开发电动动力系统软件。电动动力系统为电动汽车提供动力，从而消除了对内燃机的需求。目前，电动动力系统在极端工作条件下（如极热或极冷）的性能会受到影响，并且由于操作和环境温度的变化，其参数会发生变化，从而导致扭矩降速、效率下降和寿命缩短。该技术旨在通过动态驱动控制方案解决电动动力系统性能下降问题，从而促进多相电机的控制。所提出的动态驱动控制方案具有在大多数需要提高其整体产品寿命和效率的大型行业中使用的潜力，包括汽车，航空航天/国防，铁路，船舶和制造业。该技术的实现可以减少性能下降、快速老化和低效率。这个I-Corps项目是基于一种基于学习的控制算法的开发，以促进多相电机中电力驱动系统（电力动力系统）的控制。该技术旨在通过动态驱动控制解决由于恶劣环境和操作条件导致的电机性能下降问题。提出的动态驱动控制方案有利于多相电机的控制，克服热降额转矩问题，使寿命损失最小化，提高能量转换效率。该技术允许控制器根据电驱动系统参数的变化来确定时间表，以解决热降额扭矩的问题。它利用机器的损耗来计算最优的通量需求，以保证机器能量转换效率的提高，并建立道路负载需求与通量之间的动态关系。基于工作电压和电流约束，建立了最优成本函数，使老化最小化。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is the development of software for electric powertrains. An electric powertrain powers electronic vehicles and removes the need for an internal combustion engine. Currently, the performance of an electric powertrain in extreme working conditions, such as extreme heat or cold, is compromised and suffers from torque derating, a decrease in efficiency, and a shortened lifespan as its parameters change due to the change in operating and ambient temperatures. The proposed technology is designed to address electric powertrain performance degradation using a dynamic drive control scheme that facilitates the control of multiphase electric machines. The proposed dynamic drive control scheme has the potential to be employed in most large-scale industries including automotive, aerospace/defense, rail, marine, and manufacturing industries that need to enhance their overall product life and efficiency. The implementation of this proposed technology may lessen performance degradation, rapid aging, and poor efficiency.This I-Corps project is based on the development of a learning-based control algorithm to facilitate control of electric drive systems (electric powertrains) in multiphase electric machines. The proposed technology is designed to address electric machine performance degradation due to harsh environment and operating conditions using dynamic drive control. The proposed dynamic drive control scheme facilitates the control of multiphase electric machines to overcome the problem of thermally derated torque, minimizing the loss of lifetime, and improving energy conversion efficiency. The technology allows the controller to determine the schedule based on changes observed in the parameters of the electric drive system to address the issue of thermally derated torque. It utilizes the machine’s losses to compute the optimal flux demand to ensure improvements in the energy conversion efficiency of the machine and develop a dynamic relationship between road load demands and flux. The optimal cost function is formulated based on the operating voltage and current constraints to minimize aging.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.