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.

该I-Corps项目的更广泛的影响/商业潜力是开发电动动力总成软件。电动动力总成为电子车辆提供动力，并消除了对内部混合发动机的需求。当前，电动动力总成在极端工作条件（例如极热或冷的极端工作条件）中的性能受到损害，扭矩导数，效率降低以及寿命缩短，因为其参数由于操作和环境温度的变化而变化。拟议的技术旨在使用动态驱动器控制方案来解决电动动力总成性能降解，从而促进多相电机的控制。拟议的动态驱动器控制计划有可能在大多数大型行业中携带，包括汽车，航空航天/国防，铁路，海洋和制造业，以提高其整体产品寿命和效率。这项提出的技术的实施可能会减少性能下降，快速衰老和效率低下。此I-Corps项目基于基于学习的控制算法的开发，以促进多相电机中电动驱动系统（电动电源）的控制。该提出的技术旨在通过动态驱动器控制来解决由于HARMSH环境和操作条件而导致的电动机性能降解。提出的动态驱动控制方案设施。多相电机的控制，以克服热开发扭矩的问题，最大程度地减少寿命的损失并提高能量转换效率。该技术允许控制器根据电动驱动系统参数中观察到的更改来确定时间表，以解决热开发扭矩的问题。它利用机器的损失来计算最佳通量需求，以确保机器能量转换效率的提高，并在道路负载需求和通量之间发展动态关系。最佳的成本功能是根据运营电压和当前限制来制定的，以最大程度地减少老化。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估标准被认为是珍贵的支持。