scholarly journals Optimization-based online estimation of vehicle mass and road grade: Theoretical analysis and experimental validation

Mechatronics ◽  
2021 ◽  
Vol 80 ◽  
pp. 102663
Author(s):  
Andreas Ritter ◽  
Fabio Widmer ◽  
Basil Vetterli ◽  
Christopher H. Onder
Author(s):  
Ardala Vahidi ◽  
Anna Stefanopoulou ◽  
Huei Peng

In this paper application of recursive least squares with multiple forgetting factors is explained for online estimation of Heavy Duty Vehicle mass and road grade. The test data is obtained from highway experiments with a Freightliner truck. The experimental setup is explained in detail. This data is used to validate the longitudinal dynamics model of the truck. Then two distinct driving cycles are used to investigate the performance of the mass and grade estimation scheme. In he first scheme no gear shift occurs and the only concern is persistence of excitations. It is shown that if the excitations are persistent, mass and time-varying grade are estimated with good accuracy. In the second cycle gearshifts occur and the challenge is the unmodelled dynamics during gearshifts which cause large overshoots in the estimates. A method is proposed to circumvent this problem and good estimation results are shown with this provision.


2017 ◽  
Vol 18 (6) ◽  
pp. 1077-1083 ◽  
Author(s):  
Seungki Kim ◽  
Kyungsik Shin ◽  
Changhee Yoo ◽  
Kunsoo Huh

2014 ◽  
Vol 7 (3) ◽  
pp. 981-991 ◽  
Author(s):  
Narayanan Kidambi ◽  
R. L. Harne ◽  
Yuji Fujii ◽  
Gregory M. Pietron ◽  
K. W. Wang

Author(s):  
Annamaria Sârbu ◽  
Simona Miclăuș ◽  
Angela Digulescu ◽  
Paul Bechet

A suitable metric to describe human exposure to microwaves emitted by wireless communication devices is still incomplete. By using both theoretical analysis and experimental validation (in controlled and real deployed networks), we analyze and compare the specificity of exposure due to data transmissions in different configurations of fourth and fifth generation wireless fidelity (Wi-Fi) standards in the proximity of a mobile device. Measurements made use of the capability of the amplitude probability density incorporated in a real-time spectrum analyzer, proving its agility of highlighting different user exposure profiles. The results are presented comparatively and indicate that, in Wi-Fi networks, the modulation and coding scheme (MCS) should be used together with the duty cycle for an improved exposure assessment. The present work introduces the emitted energy density per bit in describing the user’s exposure to Wi-Fi signals and proves its superiority in characterizing the true levels of exposure for the IEEE 802.11n and 802.11ac standards of communication.


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