Operating Performance of Pure Electric Loaders with Different Types of Motors Based on Simulation Analysis

Abstract

The electrification of loader designs can utilise several power motor types. Hence, this study investigates the operational performance of pure electric-powered loaders matched with three types of motors. Firstly, for the ZL08 loader, it is proposed that a pure electric-powered loader structure adopts two motors to drive the walking and hydraulic systems separately. Secondly, the dynamic parameters of the two motors were matched, and then, a joint vehicle dynamics model of the control system, the Multi-Body Dynamics (MBD) module and the material Discrete Element Method (DEM) module, was established. Finally, the performance of the walking system with three motors was tested by inserting three materials and using accelerating and climbing methods. The operating performance of the hydraulic system was tested by shovelling and unloading three materials. Results show that when inserting difficult materials, the loader’s walking system with switched reluctance motors is 9.74–21.2% deeper than that with the other two motors and 11.7–56.2% faster at the same depth. The hydraulic system consumes 3–15.7% less energy when matched with a permanent magnet synchronous motor than the other two motors. Pure electric loaders have the best operating performance when the walking system is matched with a switched reluctance motor, and the hydraulic system is matched with a permanent magnet synchronous motor.

Fatigue Analysis of Dozer Push Arms under Tilt Bulldozing Conditions

“…Due to the need to consider the shape and contact forces of particles, the discrete element method (DEM) based on EDEM software has been widely used to model soil [6][7][8]. The interaction between components and soil under various working conditions can be well simulated by combining the DEM with MBD technique [9,10]. Additionally, hydraulic simulation technology based on AMESim has been widely used to analyze the response characteristics of hydraulic systems [11,12].…”

An IPMSM Control Structure Based on a Model Reference Adaptive Algorithm

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