Potential of Pressure Sensor Based Mass Estimation Methods for Electric Buses

• Main Authors: Utz Spaeth, Heiko Fechtner, Michele Weisbach, Benedikt Schmuelling
• Format: Article
• Language: English
• Published: MDPI AG 2020-04-01
• Series: Electronics
• Subjects: mass estimation; pressure sensors; range prediction; smart grid; sensor fusion; air suspension
• Online Access: https://www.mdpi.com/2079-9292/9/5/711

One approach to improve the 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 shown in this article, 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. The currently available mass on the bus fluctuates by more than 2 tons for constant payloads, and there is no proven solution for a more accurate mass estimation for buses in public passenger transportation. Therefore, this article presents a viable methodology to detect changes in payload, using high precision pressure sensors on the bus’s tires and air suspensions. These mass inducted pressure changes are extracted from the measurement data, using a filter to be later converted back into the corresponding masses. As the article will show, both approaches have their respective advantages and disadvantages, but have high potential and should therefore be investigated further.