Estimating Bus Mass Using a Hybrid Approach: Integrating Forgetting Factor Recursive Least Squares with the Extended Kalman Filter

• Published in: Sensors (Basel, Switzerland) Vol. 25; no. 6; p. 1741
• Main Authors: Du, Jingyang, Wang, Qian, Yuan, Xiaolei
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 11.03.2025; MDPI
• Subjects: Accuracy; Algorithms; Buses; Cost control; Deep learning; EKF; Energy consumption; Hybrid vehicles; Local transit; low-cost solution; mass estimation of bus; Methods; Neural networks; OEM; Roads & highways; Robust FFRLS; Sensors; Simulation methods; Traffic accidents & safety; Vehicles; EKF; mass estimation of bus; low-cost solution; Robust FFRLS

The vehicle mass is a crucial state variable for achieving safe and energy-efficient driving, as it directly impacts the vehicle’s power performance, braking efficiency, and handling stability. However, current methods frequently rely on particular operating conditions or supplementary sensors, whic...