The road adhesion coefficient is a key factor influencing automatic emergency braking (AEB) and anti-lock braking system (ABS) safety control of trucks. With the fading factor introduced, and the covariance gain adjusted in real time, the strong tracking unscented Kalman filter (STUKF) algorithm is modified to estimate the road adhesion coefficient more accurately. Composed of an ABS fuzzy sliding mode controller (SMC) and an AEB controller, an AEB/ABS coordinated control strategy with an adhesion coefficient estimation is designed for a three-axle heavy vehicle. The control effects are verified through experiments on various road conditions based on a hardware-in-loop test platform. The test results show that the proposed control strategy has a better braking efficiency than the traditional AEB/ABS and AEB control strategy without adhesion coefficient estimation and can decrease braking distance by 8.4% and braking time by 5.9%, which is beneficial to the vehicle longitudinal safety. 

Automatic emergency braking/anti‐lock braking system coordinated control with road adhesion coefficient estimation for heavy vehicle

Short-message communication Lossy data compression algorithm for BeiDou-3 satellite information transmission

Dynamic Coordination Control for Hydraulic Hub-Motor Auxiliary System Based on NMPC Algorithm

This paper details an Integrated Prognostics Module for real-time condition monitoring of the dry clutch system and gearbox used on Automated Manual Transmission (AMT). The real-time sensor data of the clutch actuator and gear actuator piston positions are analysed for monitoring the condition of the clutch system and gearbox synchroniser. Original parameters of the new clutch and gearbox hardware are stored in the Electrically Erasable Programmable Read-only Memory (EEPROM) of the AMT controller and the real-time data is used by the integrated prognostics module for assessing the degradation/wear. Clutch slip during torque transmission and the synchronization time are continuously monitored for providing timely alert for re-calibration of the AMT system. Thus, Condition monitoring of an AMT system provides enhanced prognostic functionality which ensures consistent clutch performance, gear shift quality and timely warning for recalibration, repair and/or replacement of the critical wear and tear parts. Also, systematic analysis of the monitored data provides an accurate diagnosis of a developing fault.

Integrated Prognostics Module for Real-time Condition Monitoring of an Automated Manual Transmission (AMT) Gearbox and Clutch Systems

Training artificial neural networks using substructuring techniques: Application to joint identification

Adaptive nonlinear ANC system based on time-domain signal reconstruction technology

A coordinated control of hydraulic hub-motor auxiliary system for heavy truck

Sound field reconstruction technology is used to provide accurate primary reference signals for active noise control systems by reconstructing the interior sound field Traditionally, time-domain noise signal-based reconstruction modeling has certain deficiencies, such as large data volume, noise reconstruction model complexity and considerable time consumption Hence, a novel Signal compression optimisation-based BP network for passenger head position signal reconstruction (CBHSR) algorithm is proposed Based on compressed sensing, the proposed algorithm converts raw multi-source signals into the compressed domain to implement compressed sampling The signal reconstruction model is created by regarding the optimal fitness value as the initial weight and the threshold of the signal reconstruction BP network, and training with the compressed multi-source data The recovery compression signal method realizes the time-domain signal reconstruction of the passenger head position The effectiveness of the proposed CBHSR algorithm is validated using noise signal sources collected from a vehicle Compared with the reconstruction model of the BP algorithm, the proposed algorithm is superior in reconstruction accuracy and time consumption

Noise Time-Domain Signal Reconstruction of Passenger Head Position Considering Compressed Sensing and Multi-source Data Fusion

The coordination control of a transmission system has gradually attracted more attention with the development of hybrid electric vehicles. However, nonlinear coupling of multiple power sources, sup...

Yang Dongpo

Papers

Adaptive nonlinear ANC system based on time-domain signal reconstruction technology

A coordinated control of hydraulic hub-motor auxiliary system for heavy truck

Noise Time-Domain Signal Reconstruction of Passenger Head Position Considering Compressed Sensing and Multi-source Data Fusion

Robust augmented H∞ shift control strategy for power-split system with a two-speed AMT gearbox of a heavy commercial vehicle: