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Development of the Hybrid Supervisory Controller for a Pre-Transmission Hybrid Electric Vehicle for Year 3 of the EcoCAR3 Competition

机译:EcoCar3竞争第3年前传输混合动力电动汽车混合监管控制器的开发

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This paper details the Wayne State University development of the Hybrid Supervisory Controller strategies for the Year 3 of the EcoCAR 3 competition. Included in this paper are the processes for developing the strategies for the supervisory control system, which includes the torque distribution among the powertrain components, and the diagnostic strategies adopted to guarantee the safety critical functionalities of the vehicle. The EcoCAR 3 competition challenges sixteen North American universities to re-engineer the 2016 Chevrolet Camaro to reduce its environmental impact without compromising its performance and consumer acceptability. During the Year 3 of the competition the team has refined the control strategies designed in the previous years, to enable the powertrain full functionalities and achieve better energy consumption over pre-determined drive cycles. The paper introduces the algorithms developed for the hybrid supervisory controller for the torque distribution among the main powertrain components, the management of the HV battery state of charge and the diagnostic features that guarantee safe vehicle operations. The algorithms are developed using MathWorks MATLAB 2015. The results obtained from the simulation over standardized drive cycles are also presented and discussed.
机译:本文详细介绍了野生动力监督控制策略的韦恩州立大学发展竞争3竞争的3年。本文包含的是制定监督控制系统的战略的过程,包括动力总成部件之间的扭矩分布,以及采用的诊断策略来保证车辆的安全临界功能。 Ecocar 3竞争挑战了十六所北美大学重新设计2016年雪佛兰Camaro,以减少其环境影响,而不会影响其性能和消费者可接受性。在竞争的第3年度,该团队已经改进了前几年设计的控制策略,使动力系统能够通过预先确定的驱动周期实现更好的能耗。本文介绍了为混合监控控制器开发的算法,用于主动力总成部件中的扭矩分布,HV电池电量的管理和保证安全车辆操作的诊断功能。该算法是使用Mathworks Matlab 2015开发的。还介绍并讨论了从标准化驱动循环的模拟中获得的结果。

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