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Modeling, simulation, and concept design for hybrid-electric medium-size military trucks

机译:混合动力中型军用卡车的建模,仿真和概念设计

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A large scale design space exploration can provide valuable insight into vehicle design tradeoffs being considered for the U.S. Army's FMTV (Family of Medium Tactical Vehicles). Through a grant from TACOM (Tank-automotive and Armaments Command), researchers have generated detailed road, surface, and grade conditions representative of the performance criteria of this medium-sized truck and constructed a virtual powertrain simulator for both conventional and hybrid variants. The simulator incorporates the latest technology among vehicle design options, including scalable ultracapacitor and NiMH battery packs as well as a variety of generator and traction motor configurations. An energy management control strategy has also been developed to provide efficiency and performance. A design space exploration for the family of vehicles involves running a large number of simulations with systematically varied vehicle design parameters, where each variant is paced through several different mission profiles and multiple attributes of performance are measured. The resulting designs are filtered to remove dominated designs, exposing the multi-criterial surface of optimality (Pareto optimal designs), and revealing the design tradeoffs as they impact vehicle performance and economy. The results are not yet definitive because ride and drivability measures were not included, and work is not finished on fine-tuning the modeled dynamics of some powertrain components. However, the work so far completed demonstrates the effectiveness of the approach to design space exploration, and the results to date suggest the powertrain configuration best suited to the FMTV mission.
机译:大规模的设计空间探索可以为美国陆军FMTV(中型战术车辆家族)正在考虑的车辆设计折衷提供有价值的见解。通过TACOM(坦克汽车与军备司令部)的资助,研究人员已经生成了代表该中型卡车性能标准的详细道路,地面和坡度条件,并为传统型和混合动力型构建了虚拟动力总成模拟器。该模拟器在车辆设计选项中整合了最新技术,包括可扩展的超级电容器和NiMH电池组以及各种发电机和牵引电机配置。还开发了一种能源管理控制策略来提供效率和性能。车辆系列的设计空间探索涉及使用系统地变化的车辆设计参数运行大量仿真,其中每个变体都通过几种不同的任务配置进行步调,并测量性能的多个属性。对生成的设计进行过滤以除去主导设计,从而暴露出多标准的最优性表面(帕累托最优设计),并揭示了设计折衷,因为它们影响了车辆的性能和经济性。结果尚未确定,因为未包含行驶和驾驶性能测量,并且尚未完成对某些动力总成组件的建模动力学进行微调的工作。但是,到目前为止完成的工作证明了设计空间探索方法的有效性,并且迄今为止的结果表明最适合FMTV任务的动力总成配置。

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