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Mission aware energy efficiency in stationary combat vehicles

机译:固定作战车辆的任务感知型能效

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摘要

This paper presents an on-line technique for achieving fuel-energy efficiency while meeting the electrical demands of a stationary combat vehicle. A vehicle's electrical load depends on the requirements of a combat mission. To achieve higher efficiency, a vehicle can use any existing advanced energy management systems and techniques (hardware/software), but they require complex, costly, and time-consuming implementations. The authors propose an approach in this paper to achieve energy efficiency in a stationary combat vehicle by operating the engine at a fuel-efficient speed to meet the vehicle load demand. The method accomplishes the aim by combining engine and alternator efficiency data, mission awareness, and a fuzzy logic soft computing methodology. The simulation uses a computerized vehicle software model and a test bench to validate the approach. In comparison to vehicles with high-idle RPM technology, the simulation results of the new approach show a 15.7% efficiency improvement for combat mission scenarios. The future implementation of this approach on a real vehicle will test the performance of the technique using a fuzzy electronic chip.
机译:本文提出了一种在线技术,该技术可在满足固定式战车的电气需求的同时,实现燃料能源效率。车辆的电气负载取决于战斗任务的要求。为了获得更高的效率,车辆可以使用任何现有的先进能源管理系统和技术(硬件/软件),但是它们需要复杂,昂贵且耗时的实现。作者提出了一种在本文中提出的方法,通过以燃油效率运行发动机来满足车辆负载需求,从而在固定式战斗车辆中实现能源效率。该方法通过结合发动机和交流发电机效率数据,任务感知以及模糊逻辑软计算方法来实现目标。仿真使用计算机化的车辆软件模型和测试平台来验证该方法。与采用高怠速RPM技术的车辆相比,新方法的仿真结果表明,战斗任务场景的效率提高了15.7%。该方法在实际车辆上的未来实现将使用模糊电子芯片来测试该技术的性能。

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