Energy saving optimal design and control of electromagnetic brake on passenger car

Abstract

Abstract. In this paper, the optimal design and control method of electromagnetic brake for a typical city driving cycle are studied to improve its energy consumption characteristics. The prediction models of the braking performance and power consumption for electromagnetic brake were established, and their accuracies were verified on the hardware of the loop simulation platform. Moreover, the energy consumption based on the ECE-EUDC driving condition was taken as the objective function, and a mathematical model for the optimal design of the electromagnetic brake was established. Genetic Algorithm was used to seek global optimal solution of these design variables on the premise of the given electrical and space constraints. Finally, the effect of thermodynamic properties of electromagnetic brake on the energy consumption characteristics was analyzed, and the energy saving control method of electromagnetic brake was also proposed. Experimental results show that the energy saving optimal design and control that this paper investigates can significantly improve the energy efficiency of electromagnetic brake.

Structure design and coordinated control of electromagnetic and frictional braking system based on a hub motor

“…Under normal circumstances, the mechanical relationship between the pressure applied by the braking wheel cylinder piston to the friction plate and the wheel cylinder pressure are expressed as follows: 25,26 N p = P w gA mc ð5Þ…”

“…The optimal slip rate is set as s. The fuzzy domain of the linguistic variables (E) and (E c ) in the fuzzy controller is [26,6] If deviation (E) is Negative Big (NB), the slip rate (E c ) is also Negative Big (NB), indicating that the actual slip rate is very large, and that the trend of slip change rate is also very large. Thus, it should greatly reduce the current of the electromagnetic braking coil I, namely, the amount of I is Negative Big (NB).…”

“…The optimal slip rate is set as s. The fuzzy domain of the linguistic variables (E) and (E c ) in the fuzzy controller is [26,6]. The fuzzy domain of the output of the fuzzy language variables (Du) is [0,20].…”

Solvability for Optimal Classical Continuous Control Problem Controlling by Quaternary Hyperbolic Boundary Value Problem

“…Different applications in the real life are classified as an optimal control problems. For example in robots, medicine, economic, engineering, pharmacy, chemistry, electromagnetic and many other fields [1][2][3][4][5][6][7]. In the field of applied mathematics, many researchers studied optimal control problems that are controlled by ODEs or PDEs of parabolic, hyperbolic and elliptic type, couple of these types, while some of them investigated optimal control problems that controlled by triple linear PDEs of the mentioned three types [14][15][16].…”