Mass Detection Using Piezoresistive Pressure Sensors to Optimize Range Prediction of Full Electric Buses

U. Spaeth, Michéle Weisbach, H. Fechtner, Kay Herklotz, B. Schmuelling, C. Troullier
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Abstract

One approach to improve economic efficiency of trolleybuses in the so-called BOB Project in the German town of Solingen is to use them as mobile energy storages in a smart grid. To achieve this, reliable information on available energy is essential, which in turn needs to be derived from a precise range calculator. As will be shown in the paper, vehicle mass is a strong influencing factor, especially in urban traffic. Depending on passenger volume, the total mass and range of the bus varies by about 30 percent. Therefore, this paper presents a viable methodology to detect changes in payload using high precision tire pressure sensors.
基于压阻式压力传感器的质量检测优化全电动客车行程预测
在德国索林根镇所谓的BOB项目中,一种提高无轨电车经济效率的方法是将它们用作智能电网中的移动储能系统。为了实现这一目标,可靠的可用能源信息是必不可少的,而这些信息又需要从精确的范围计算器中得到。如本文所示,车辆质量是一个重要的影响因素,尤其是在城市交通中。根据乘客数量的不同,公交车的总质量和行驶里程会有30%左右的变化。因此,本文提出了一种可行的方法,利用高精度轮胎压力传感器来检测有效载荷的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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