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Driver Advisory Tool to Reduce Fuel Consumption

机译:司机咨询工具减少燃料消耗

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Driver behaviour can strongly affect fuel consumption, and driver training in eco-driving techniques has been shown to reduce fuel consumption by 10% on average. However the effects of this training can be short-lived, so there is an apparent need for continuous monitoring of driver behaviour. This study presents a driver advisory tool which encourages eco-driving, and its evaluation in the field. The system, developed by Ashwoods Automotive Ltd (UK) and the University of Bath (UK), is aimed at fleet operators of light commercial vehicles, where the driver is typically a company employee. A significant strength of the system is that it has been designed for easy integration with the vehicle CAN-bus, reducing complexity and cost. By considering the Inertial Power Surrogate (speed times acceleration) the core algorithm is able to identify behaviour which is likely to increase fuel consumption. The algorithm also enforces the advice of the Gear Shift Indicator to encourage earlier upshifting. Fuel saving is therefore encouraged both by reducing the power demand of the drive cycle and by operating the engine in a more efficient region. Instantaneous visual feedback to the driver is augmented by audible warnings, which avoids the need for the driver to concentrate on the display, reducing cognitive loading. Reports on driver performance are made available to the fleet manager so that fuel efficient and safe driving can be encouraged. Trials of the system ran for four weeks and included 15 vehicles from 7 companies; a total of 39 300 km of trip data were collected during more than 1 100 hours of real world driving. Results show an average fleet reduction in fuel consumption of 7.6%, with some vans showing savings up to 12%. Furthermore, reductions of over 10% in both average engine speed and throttle activation were observed. It was also noted that the system shows strong potential for synergetic use with a hybrid electric powertrain, where modifying driver behaviour may facilitate energy harvesting from regenerative braking.
机译:驾驶员行为可以强烈影响燃料消耗,并且已经显示出生态驾驶技术的驾驶员培训,平均将燃料消耗降低10%。然而,这种培训的影响可能是短暂的,因此表观需要持续监测驾驶员行为。本研究提出了一个鼓励生态驾驶的驾驶员咨询工具,并在该领域的评估。由Ashwoods Authotive Ltd(英国)和巴斯大学(英国)开发的系统旨在舰队运营商的轻型商用车,驾驶员通常是公司员工。该系统的显着强度是它设计用于与车辆公共汽车轻松集成,降低复杂性和成本。通过考虑惯性功率代理(速度乘以加速),核心算法能够识别可能提高燃料消耗的行为。该算法还强制执行换档指示器的建议,以鼓励较早的振幅。因此,通过降低驱动周期的电力需求并通过在更有效的区域中操作发动机来鼓励节省燃料。驾驶员的瞬时视觉反馈由声音警告增强,这避免了驾驶员能够集中在显示器上的需要,从而减少认知负载。有关驾驶​​员性能的报告可供舰队经理提供,以便鼓励燃油效率和安全驾驶。系统的试验持续了四周,包括来自7家公司的15辆车;在100多小时的现实世界驾驶期间,共收集了39千克的旅行数据。结果显示燃料消耗的平均舰队减少7.6%,其中一些面包士展出储蓄高达12%。此外,观察到在平均发动机速度和节流激活中减少超过10%。还有人指出,该系统对混合动力动力传递的协同用途显示了强大的潜力,其中改变驾驶员行为可以促进从再生制动中的能量收集。

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