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Design Under Uncertainty and Assessment of Performance Reliability of a Dual-Use Medium Truck with Hydraulic-Hybrid Powertrain and Fuel Cell Auxiliary Power Unit

机译:具有液压混合动力总成和燃料电池辅助动力装置的两用中型卡车的不确定度设计和性能可靠性评估

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摘要

Medium trucks constitute a large market segment of the commercial transportation sector, and are also used widely for military tactical operations. Recent technological advances in hybrid powertrains and fuel cell auxiliary power units have enabled design alternatives that can improve fuel economy and reduce emissions dramatically. However, deterministic design optimization of these configurations may yield designs that are optimal with respect to performance but raise concerns regarding the reliability of achieving that performance over lifetime. In this article we identify and quantify uncertainties due to modeling approximations or incomplete information. We then model their propagation using Monte Carlo simulation and perform sensitivity analysis to isolate statistically significant uncertainties. Finally, we formulate and solve a series of reliability-based optimization problems and quantify tradeoffs between optimality and reliability. The most relevant design parameters of the diesel engine, fuel cell, driveline and vehicle are considered. The results demonstrate the necessity for addressing uncertainty to make valid assessments and design decisions
机译:中型卡车在商业运输领域占据很大的市场份额,也广泛用于军事战术行动。混合动力总成和燃料电池辅助动力装置的最新技术进步已使设计替代方案成为可能,这些替代方案可以改善燃油经济性并大大减少排放。但是,这些配置的确定性设计优化可能会产生相对于性能而言最佳的设计,但会引起人们对在整个生命周期内实现该性能的可靠性的担忧。在本文中,我们确定和量化由于模型逼近或信息不完整而导致的不确定性。然后,我们使用蒙特卡洛模拟对它们的传播进行建模,并进行敏感性分析以分离出统计上显着的不确定性。最后,我们制定并解决了一系列基于可靠性的优化问题,并量化了最优性和可靠性之间的权衡。考虑了柴油发动机,燃料电池,动力传动系统和车辆的最相关的设计参数。结果表明解决不确定性的必要性,以做出有效的评估和设计决策

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