Abstract

When the pure electric mining dump truck is working, it mainly ascends the slope at full load and descends the slope at no load. The loading state of the vehicle and the slope of the road will directly affect its axle load distribution and braking force distribution. In this paper, the slope dynamics analysis of the pure electric double-axle four-wheel drive mining dump truck was carried out. Based on the regenerative braking priority strategy, four regenerative braking control methods were developed based on the Matlab/Simulink platform and ADVISOR 2002 vehicle simulation software to study the ability of regenerative braking energy recovery and its impact on vehicle economic performance. The simulation results show that the regenerative braking priority control strategy used can maximize the regenerative braking force of the vehicle; the regenerative energy recovery capability of pure electric mining dump truck is proportional to the regenerative braking force that can be provided during braking; the two-axis braking strategy based on the I curve and the β line can make full use of the front and rear axle regenerative braking force when the braking intensity is large, and recover more braking energy; under road drive cycle, the single-axis braking force required to the braking strategy based on the maximized front axle braking force is the largest among all strategies, the motor braking efficiency is the highest, and the recovered braking energy is the most. For the studied drive cycle, the regenerative braking technology can reduce the vehicle energy consumption by 1.06%–1.56%. If appropriate measures are taken to improve the road surface condition and reduce the rolling resistance coefficient from f = 0.04 to f = 0.02, the regenerative braking technology can further reduce the vehicle energy consumption to 4.76%–5.73%. The economic performance of the vehicle is improved compared to no regenerative braking. In addition, the vehicle loading state and the driving motor working efficiency also directly affect the regenerative braking energy recovery capability of the pure electric mining truck.

Highlights

  • Pure electric mining dump truck is fully driven by electricity which is supplied by on-board batteries or power wiring

  • This paper adopts the regenerative braking priority strategy to develop four braking strategies based on the Matlab/Simulink platform, embeds them in the simulation model of pure electric

  • This paper adopts the regenerative braking priority strategy to develop four braking strategies based on the Matlab/Simulink platform, embeds them in the simulation model of pure electric double-axis four-wheel drive mining dump truck developed by ADVISOR 2002 to study the characteristics of regenerative braking energy recovery of the pure electric mining dump truck

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Summary

Introduction

Pure electric mining dump truck (pure electric mining truck) is fully driven by electricity which is supplied by on-board batteries or power wiring. A self-weight road driving mechanics model [3,5,6,7], ignoringmining the vehicle resistance, rolling resistance and t slope with full load 100 t pure electric double-axle four-wheel drive miningresistance dump truck taken as the resistance during driving. These resistances, especially the rolling and is slope resistance, research object. The regenerative braking priority control strategy load 100force t pure electric double-axle four-wheel drive mining dump truck is taken as the research object. The characteristics of regenerative energy recovery storage control are studied on the Matlab/Simulink platform combined with the vehicle simulation software ADVISOR 2002

Principle Analysis of Regenerative Braking Control System
During thetransmits brake ECU tocalculates the vehicle
System Model and Control
Drive Motor Mechanics Model
Battery Model
Rmotor
Normal
Front and Rear Axle Braking Force Distribution
Vehicle Speed based Braking Strategy
Curve based
Comparison of Braking Energy Recovery canbe beseen seenfrom fromFigure
Comparison of Braking Force Distribution
Comparison of Braking Energy Recovery
Vehicle Energy Consumption and Battery SOC Changes
Findings
Conclusions
Full Text
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