Paper
8 November 2023 Simulation study on energy recovery system of heavy electric forklift
Wen Gong
Author Affiliations +
Proceedings Volume 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023); 129230L (2023) https://doi.org/10.1117/12.3011355
Event: 3rd International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV 2023), 2023, Chongqing, China
Abstract
With the development of electric drive and energy storage technology, internal combustion forklifts are gradually replaced by electric forklifts. Electric forklift is developing towards heavy duty. The valve control mode of the forklift fork system causes a large amount of recoverable potential energy to heat up and lose in the way of throttling loss, resulting in energy waste and system temperature rise. For heavy-duty forklift, its load is larger, more energy can be recovered, and the heating phenomenon is more prominent. In order to solve the problems, a energy recovery system with hydraulic motor-motor is proposed, and the theoretical and simulation analysis on the valve control and hydraulic motor control of the hydraulic cylinder descending process is carried out. The simulation results show that the energy recovery scheme is feasible.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Wen Gong "Simulation study on energy recovery system of heavy electric forklift", Proc. SPIE 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 129230L (8 November 2023); https://doi.org/10.1117/12.3011355
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KEYWORDS
Control systems

Vacuum chambers

Systems modeling

Batteries

Combustion

Mathematical modeling

Modeling

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