Dynamic Drive Control Scheme for Energy-Efficient Electric Drive Systems

节能电力驱动系统的动态驱动控制方案

• 批准号: 2334438
• 负责人: Athar Hanif
• 金额: $ 5万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2334438&HistoricalAwards=false
• 关键词: Dynamic; Drive; Control; Scheme; Energy

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.

这个I-Corps项目更广泛的影响/商业潜力是电动动力系统软件的开发。 电动动力系统为电动车辆提供动力，并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（例如极热或极冷）下的性能受到损害，并且由于其参数由于操作和环境温度的变化而变化而遭受扭矩降额、效率降低和寿命缩短。 所提出的技术被设计为使用便于多相电机的控制的动态驱动控制方案来解决电动动力系统性能退化。 所提出的动态驱动控制方案有可能被用于大多数大规模的行业，包括汽车，航空航天/国防，铁路，船舶和制造业，需要提高他们的整体产品寿命和效率。 该技术的实施可能会减少性能下降，快速老化，和效率差。这个I-Corps项目是基于开发一个基于学习的控制算法，以促进控制多相电机的电驱动系统（电力传动系统）。 所提出的技术旨在使用动态驱动控制来解决由于恶劣环境和操作条件而导致的电机性能退化。 提出的动态驱动控制方案有利于多相电机的控制，以克服热减额扭矩问题，最大限度地减少寿命损失，并提高能量转换效率。该技术允许控制器基于在电驱动系统的参数中观察到的变化来确定调度，以解决热降额扭矩的问题。 它利用机器的损失来计算最佳通量需求，以确保机器的能量转换效率的提高，并建立道路负载需求和通量之间的动态关系。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。