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Eliminating the forward/backward restriction in vehicle performance and energy use analysis

机译:消除车辆性能和能源使用分析中的前向/后向限制

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The goal of this research was to develop and verify a computer analysis tool used for both vehicle simulation and design. Design analysis requires flexibility in setting up and solving the vehicle system of governing equations. Vehicle design analysis is fundamentally different from the structured modelling currently used in forward- or backward- facing vehicle simulation software. Unique numerical and equation management algorithms were developed to provide the flexibility and performance required for vehicle design analysis. These algorithms were combined into a software analysis tool called SmartDesigned Vehicles (SDV). Results from three different vehicle sizes and two different performance-based driving cycles were used to compare SDV with the Advanced Vehicle Simulator (ADVISOR) developed by the National Renewable Energy Laboratory. SDV was also validated with dynamometer test data. Results show that SDV predicts performance and energy use to within 5% of ADVISOR over most of the driving cycles. Additionally, SDV predicted vehicle performance to within 8% of dynamometer test data. SDV allows performance values as input and component size requirements as output. This result is a vehicle design tool that predicts component sizes based on performance, thereby enabling the engineer greater flexibility for design analysis.
机译:本研究的目标是开发和验证用于车辆仿真和设计的计算机分析工具。设计分析需要灵活地建立和解决管理方程式的车辆系统。车辆设计分析与目前用于前部或后向车辆仿真软件的结构化建模根本不同。开发了独特的数值和方程管理算法,以提供车辆设计分析所需的灵活性和性能。将这些算法组合到名为SmartDesigned车辆(SDV)的软件分析工具中。来自三种不同车辆尺寸和两种不同的基于性能的驱动周期的结果用于将SDV与国家可再生能源实验室开发的先进车模拟器(顾问)进行比较。 SDV也用测功机测试数据验证。结果表明,SDV将性能和能源预测到大部分驾驶周期的顾问中的5%内。此外,SDV将车辆性能预测到5%的测功机测试数据。 SDV允许性能值作为输出的输入和组件大小要求。该结果是一种车辆设计工具,其基于性能预测组件大小,从而使工程师能够更大的设计分析灵活性。

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