2020
DOI: 10.3390/en13133435
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An Energy Consumption Model for Designing an AGV Energy Storage System with a PEMFC Stack

Abstract: This article presents a methodology for building an AGV (automated guided vehicle) power supply system simulation model with a polymer electrolyte membrane fuel cell stack (PEMFC). The model focuses on selecting the correct parameters for the hybrid energy buffering system to ensure proper operating parameters of the vehicle, i.e., minimizing vehicle downtime. The AGV uses 2 × 1.18 kW electric motors and is a development version of a battery-powered vehicle in which the battery has been replaced with a… Show more

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Cited by 32 publications
(16 citation statements)
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“…The method is intended for use in further research on household appliance ion-exchange production cost optimization, in parallel with the authors' model-based systems engineering (MBSE) methodology [21][22][23], effectively used for evaluation, optimization, and improvements in robustness and efficiency.…”
Section: Materials Products and Samplesmentioning
confidence: 99%
“…The method is intended for use in further research on household appliance ion-exchange production cost optimization, in parallel with the authors' model-based systems engineering (MBSE) methodology [21][22][23], effectively used for evaluation, optimization, and improvements in robustness and efficiency.…”
Section: Materials Products and Samplesmentioning
confidence: 99%
“…Electrical supply of AGVs up to 3000 kg payload are typically lithium-based batteries. However, energy storage of heavier AGVs ( > 3000 kg) can be designed as hybrid systems such as battery and supercapacitor, or fuel cell and ultracapacitors [52]. Energy management of an AGV is required to predict if the next operation can be completed with the available battery energy.…”
Section: Energy-efficient Operation Of Agvmentioning
confidence: 99%
“…The tasks of energy management and efficiency optimization of an AGV can be categorized into six different levels, covering the software development at a higher level and optimizing the component specifications and efficient operation of the traction system at the lower level. A summary from the state of the art is given below: 1) Energy consumption and prediction models for a given load and speed profile: In [52], variation of power and SOC of the AGV energy storage system is simulated for different operation conditions. 2) Path planning minimizing the distance: In [53], using the linearized AGV model, path planning control is implemented using the constraint of minimum energy consumption.…”
Section: Energy-efficient Operation Of Agvmentioning
confidence: 99%
“…The distinguishing features are: very large size and low weight, which forces the use of a special design methodology including energy optimization through the use of Model -Based Design, the use of ultra-light construction. The design methodologies used in this case were tested by consortium members in aviation [2,3] as well as automotive [4] and robotic [5] applications. Design methods for thin-walled structures, on the other hand, were implemented through the use of generative design [6].…”
Section: Introductionmentioning
confidence: 99%