Electric-driven Zonal Hydraulics in Non-Road Mobile Machinery

A method and procedure for automatic calculation of field capacity and fuel consumption of mobile machinery with tanks, hoppers and bunkers is suggested. They are based on a combination of two well-founded approaches: East-European and North-American. To increase its calculation area some applications for machines with containers as grain, fertilizer, solution, etc. are added. An example of five linked field operations, namely potato transportation, fertilization, spraying, planting and harvesting is presented. A list of needed information with relations between them and main indices of agricultural aggregates is prepared. For convenience and objectivity calculations are automated with spreadsheets.

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Development of Energy Management Strategies for Heavy Mobile Machinery

Volume 1: Aerial Vehicles; Aerospace Control; Alternative Energy; Automotive Control Systems; Battery Systems; Beams and Flexible Structures; Biologically-Inspired Control and its Applications; Bio-Medical and Bio-Mechanical Systems; Biomedical Robots and Rehab; Bipeds and Locomotion; Control Design Methods for Adv. Powertrain Systems and Components; Control of Adv. Combustion Engines, Building Energy Systems, Mechanical Systems; Control, Monitoring, and Energy Harvesting of Vibratory Systems ◽

10.1115/dscc2013-3862 ◽

2013 ◽

Author(s):

Antti Lajunen

Keyword(s):

Energy Consumption ◽

Energy Management ◽

Underground Mining ◽

Management Strategies ◽

Operating Efficiency ◽

Optimal Power ◽

Power Split ◽

Electric Loader ◽

Mobile Machinery ◽

Task Oriented

This paper introduces a method for developing energy management strategies (EMS) for task-oriented heavy mobile machinery. The case application is a hybrid underground mining loader but the method is also used for a diesel-electric and electric loader. Depending on the optimization target, the sequence for optimal power-split between the engine-generator (gen-set) and battery is defined. The minimization of the energy consumption and maximization of the operating efficiency are used as the optimization targets. The developed method is based on dynamic programming simulations which generate the optimal power-split for the evaluation of the control parameters. The simulation results showed that there are no significant differences between the two optimization targets in terms of the control sequence of the hybrid loader. The major difference was observed in the battery charging power which was much lower in the case of the minimization of the energy consumption.

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