2022
DOI: 10.3390/act11110316
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A Pneumatic Control Method for Commercial Vehicle Electronic Brake System Based on EPV Module

Abstract: The traditional electronic braking system (EBS) of a commercial vehicle has the problems of sluggish pressure response, large dynamic error and unsatisfactory braking effect during braking. First, a novel EBS system based on electronic pneumatic valves (EPV) module is designed, which integrated the control of each pneumatic valve. Secondly, the hardware of the EBS bottom controller and the air pressure closed-loop control are carried out. A kind of similar to PWM (SPWM) air pressure control method is proposed.… Show more

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Cited by 5 publications
(7 citation statements)
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“…On the other hand, both the incompressible flow model 1 and the ISO model 2 are better when the tank is being charged (Figure 9b,d). It is, therefore, reasonable, to prefer the one-constant modelling Equation (25) instead of the two-constant ISO Equation (21).…”
Section: Comparison With Experimental Resultsmentioning
confidence: 99%
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“…On the other hand, both the incompressible flow model 1 and the ISO model 2 are better when the tank is being charged (Figure 9b,d). It is, therefore, reasonable, to prefer the one-constant modelling Equation (25) instead of the two-constant ISO Equation (21).…”
Section: Comparison With Experimental Resultsmentioning
confidence: 99%
“…For instance, in 1955, Druett obtained experimental curves for divergent conic-shaped orifices [12]. However, a somewhat common practice is to assume L = 0.528, corresponding to the critical pressure ratio, b, for γ = 1.4 (see, for example, [2,[13][14][15][16][17][18][19][20][21]).…”
Section: 𝑚 𝐾mentioning
confidence: 99%
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“…The traditional commercial vehicle electronic braking system has problems such as slow pressure response, large dynamic error, and unsatisfactory braking effect during the braking process. Zhang et al [5] designed a new EBS system, which integrates the control of each pneumatic valve. Wu et al [6] proposed a human-machine collaborative steering torque control method for intelligent vehicles.…”
Section: Introductionmentioning
confidence: 99%