Entropy-based torque control strategy of Mechanical–Electric–Hydraulic Power Coupling Vehicles

Abstract

In the ambiance of worldwide severe energy consumption and extensive application of new energy vehicles, the research team contrived a Mechanical–Electric–Hydraulic Power Coupler (MEHPC) and further proposed a Mechanical–Electric–Hydraulic Power Coupling Vehicle (MEHPCV). MEHPC integrates the operating characteristics of the drive motor with the hydraulic pump/motor, enabling the interconversion of mechanical, hydraulic, and electrical energy. MEHPC is the core component of MEHPCV. Electrical and hydraulic output torque are essential factors affecting MEHPCV’s performance. With further investigation, one of the existing conundrums is challenging to evaluate the above two torques. Hence, this paper invents an algorithm incorporating Local Sample Correction Shannon Entropy (LSCSE) and standard score Z. LSCSE accurately reflects the cumulative degree of a set of data in distinct numerical intervals. The simulation consequences demonstrate that the algorithm can indicate the state of the driving torque of the MEHPCV in a period of driving cycles. Thereafter, LSCSE and Z-score can evolve a torque control strategy, which helps improve the control strategy and dynamic performance. The relevant research in this paper has considerable reference significance for the innovation and development of torque control strategy. This is the first investigation to combine entropy and Z-score with torque control.