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The Pennsylvania State University's Advanced Vehicle Team: EcoCAR3 Year One Final Technical Report

机译:宾夕法尼亚州立大学的高级车辆团队:EcoCAR3一年级最终技术报告

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This paper details the powertrain modeling and control strategies the Penn State Advanced Vehicle Team (PSUAVT) developed for submission to the EcoCAR 3 competition, an advanced vehicle design competition in which university teams compete to hybridize a stock 2016 Chevrolet Camaro. The team utilized model-in-the-loop studies using both public-domain and custom-built vehicle simulation packages to undergo an iterative powertrain model development process. This analysis lead to the development of a pre-transmission plug-in parallel hybrid electric vehicle that uniquely meets PSUAVT's goals. The design process was guided by vehicle technical specifications (VTS) based on consumer market research as well as the team's emphasis on producing a technically-feasible but performance-weighted hybrid architecture. Component models are presented that blend physics-based and map-based methods. A heuristic master vehicle controller (MVC) is described that splits the required driving torque between the motor and engine so engine brake-specific fuel consumption (BSFC) is minimized. Fault analysis of this controller is also presented based on design failure mode and effects analysis (DFMEA) performed in previous studies.
机译:本文详细介绍了宾夕法尼亚州立大学高级车辆团队(PSUAVT)开发的动力总成建模和控制策略,以提交给EcoCAR 3竞赛,该竞赛是一项高级车辆设计竞赛,大学竞赛团队在竞赛中混合使用股票2016雪佛兰Camaro。该团队利用公共领域和定制的汽车仿真程序包在环模型研究来进行动力总成模型的迭代开发过程。该分析导致开发了一种独特的可满足PSUAVT目标的预变速箱插电式并行混合动力电动汽车。设计过程以基于消费者市场研究的车辆技术规范(VTS)以及团队对生产技术上可行但性能加权的混合动力体系的重视为指导。提出了混合基于物理方法和基于地图方法的组件模型。描述了一种启发式主车辆控制器(MVC),该控制器在电动机和发动机之间分配所需的驱动扭矩,从而使发动机制动专用油耗(BSFC)最小化。还基于先前研究中进行的设计故障模式和效果分析(DFMEA),介绍了该控制器的故障分析。

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