Abstract State-of-charge (SOC) estimation is an important aspect for modern battery
management systems. Extended Kalman filter (EKF) has been extensively used in battery …

This article proposes a novel fuzzy sliding‐mode control scheme under an adaptive control
strategy for energy management mechanism in electric vehicles that are subject to a …

The simultaneous parameter and state estimation for a multi-input multi-output (MIMO) state
space system from a set of measurement data is taken into account in this paper. Firstly, in …

Traditional adaptive Kalman filtering algorithms based on innovation are often used to solve
the problem of reduced or even divergent filtering estimation accuracy under abnormal …

A coordinated torque distribution method (CTDM) combined with balanced torque vectoring
distribution method (BTVDM) and differential braking distribution method (DBDM) is …

The focus of this paper is an integrated, fault‐tolerant vehicle control algorithm for the overall
stability of ground vehicles. The proposed scheme comprises a high‐level controller that …

This study presents a hierarchical control system of handling stability for distributed drive
electric vehicles. The desired direct yaw moment (DYM), determined by the upper-level …

This article is concerned with the problem of robust fuzzy fault tolerant control for the
nonlinear active suspension system via adaptive hybrid triggered scheme. To describe the …

In this paper, an adaptive robust maximum correntropy cubature Kalman filter (AMCCKF) for
spacecraft attitude estimation is proposed. The main aim is to enable the algorithm to resist …

A linear tire model with constant conering stiffness does not guarantee the model accuracy,
while a traditional nonlinear tire model has to face complicated parameter adjustment …