Feedforward and Feedback Integrated Control for Handling Characteristics Adjustment of Multi-axle Heavy-duty Vehicles Using Independent-drive Electric Wheels

2021 ◽  
Author(s):  
Jiayi Hu ◽  
Jianqiu Li ◽  
Hang Li ◽  
Jiachen Dong ◽  
Zunyan Hu ◽  
...  
Keyword(s):  
Integrated Control ◽  
Heavy Duty ◽  
Handling Characteristics ◽  
Heavy Duty Vehicles

scholarly journals Driver Evaluation in Heavy Duty Vehicles Based on Acceleration and Braking Behaviors

2020 ◽  
Author(s):  
Mehmet Emin Mumcuoglu ◽  
Gokhan Alcan ◽  
Mustafa Unel ◽  
Onur Cicek ◽  
Mehmet Mutluergil ◽  
...  
Keyword(s):  
Heavy Duty ◽  
Heavy Duty Vehicles

scholarly journals Dual Stage Multilevel Control for Heavy Duty Vehicles under Different Traffic Conditions

2020 ◽  
Vol 53 (2) ◽  
pp. 13850-13854
Author(s):  
P. Polverino ◽  
I. Arsie ◽  
C. Pianese
Keyword(s):  
Heavy Duty ◽  
Traffic Conditions ◽  
Dual Stage ◽  
Heavy Duty Vehicles

scholarly journals Parameter Estimation of a Countershaft Brake for Heavy-Duty Vehicles with Automated Mechanical Transmission

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 1036
Author(s):  
Yunxia Li ◽  
Lei Li
Keyword(s):  
Parameter Identification ◽  
Least Squares ◽  
Dynamic Model ◽  
Control Flow ◽  
Mechanical Transmission ◽  
Equivalent Resistance ◽  
Heavy Duty ◽  
Characteristic Parameters ◽  
Resistance Torque ◽  
Heavy Duty Vehicles

A countershaft brake is used as a transmission brake (TB) to realize synchronous shifting by reducing the automated mechanical transmission (AMT) input shaft’s speed rapidly. This process is performed to reduce shifting time and improve shifting quality for heavy-duty vehicles equipped with AMT without synchronizer. To improve controlled synchronous shifting, the AMT input shaft’s equivalent resistance torque and the TB’s characteristic parameters are studied. An AMT dynamic model under neutral gear position is analyzed during the synchronous control interval. A dynamic model of the countershaft brake is discussed, and its control flow is given. The parameter identification method of the AMT input shaft’s equivalent resistance torque is given on the basis of the least squares algorithm. The parameter identification of the TB’s characteristic parameters is proposed on the basis of the recursive least squares method (RLSM). Experimental results show that the recursive estimations of the TB’s characteristic parameters under different duty cycles of the TB solenoid valve, including brake torque estimation, estimation accuracy, and braking intensity estimation, can be effectively estimated. The research provides some reliable evidence to further study the synchronous shifting control schedule for heavy-duty vehicles with AMT.

scholarly journals Assessment of waste heat recovery for heavy-duty vehicles during on-road operation

2021 ◽  
Vol 191 ◽  
pp. 116891
Author(s):  
Stijn Broekaert ◽  
Theodoros Grigoratos ◽  
Dimitrios Savvidis ◽  
Georgios Fontaras
Keyword(s):  
Heat Recovery ◽  
Waste Heat Recovery ◽  
Waste Heat ◽  
Heavy Duty ◽  
Heavy Duty Vehicles

Oxidative Potential of Semi-Volatile and Non Volatile Particulate Matter (PM) from Heavy-Duty Vehicles Retrofitted with Emission Control Technologies

2009 ◽  
Vol 43 (10) ◽  
pp. 3905-3912 ◽  
Author(s):  
Subhasis Biswas ◽  
Vishal Verma ◽  
James J. Schauer ◽  
Flemming R. Cassee ◽  
Arthur K. Cho ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Emission Control ◽  
Heavy Duty ◽  
Oxidative Potential ◽  
Control Technologies ◽  
Heavy Duty Vehicles

Propane Fueled Heavy-Duty Vehicles

1993 ◽  
Author(s):  
Nils-Olof Nylund ◽  
Matti Kytö
Keyword(s):  
Heavy Duty ◽  
Heavy Duty Vehicles

scholarly journals Integrated active and semi-active control for seat suspension of a heavy duty vehicle

2017 ◽  
Vol 29 (1) ◽  
pp. 91-100 ◽  
Author(s):  
Donghong Ning ◽  
Shuaishuai Sun ◽  
Haiping Du ◽  
Weihua Li
Keyword(s):  
Resonance Frequency ◽  
Active Control ◽  
Integrated Control ◽  
Relative Displacement ◽  
Magnetorheological Damper ◽  
Active Force ◽  
Heavy Duty ◽  
Force Output ◽  
Seat Suspension ◽  
A Current

In this article, an integrated active and semi-active seat suspension for heavy duty vehicles is proposed, and its prototype is built; an integrated control algorithm applied measurable variables (suspension relative displacement and seat acceleration) is designed for the proposed seat prototype. In this seat prototype, an active actuator with low maximum force output (70 N), which is insufficient for an active seat suspension to control the resonance vibration, is applied together with a rotary magnetorheological damper. The magnetorheological damper can suppress the high vibration energy in resonance frequency, and then a small active force can further improve the seat suspension performance greatly. The suspension’s dynamic property is tested with a MTS system, and its model is identified based on the testing data. A modified on–off controller is applied for the rotary magnetorheological damper. A [Formula: see text] controller with the compensation of a disturbance observer is used for the active actuator. Considering the energy saving, the control strategy is designed as that only when the magnetorheological damper is in the off state (0 A current), the active actuator will have active force output, or the active actuator is off. Both simulation and experiment are implemented to verify the proposed seat suspension and controller. In the sinusoidal excitations experiment, the acceleration transmissibility of integrated control seat has lowest value in resonance frequency and frequencies above the resonance, when compared with power on (0.7 A current), power off (0 A current) and semi-active control seat. In the random vibration experiment, the root mean square acceleration of integrated control seat suspension has 47.7%, 33.1% and 26.5% reductions when compared with above-mentioned three kinds of seat suspension. The power spectral density comparison indicates that the integrated seat suspension will have good performance in practical application. The integrated active and semi-active seat suspension can fill energy consumption gap between active and semi-active control seat suspension.

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