Open Access

ARTICLE

Simulation and Data Analysis of Energy Recovery Sensing on a Parallel Hydraulic Hybrid Crane

Youquan Chen, Xinhui Liu, Xin Wang, Jinshi Chen

School of Mechanical Science and Engineering, Jilin University, Changchun 130022, China

* Corresponding Author: Xin Wang,

Intelligent Automation & Soft Computing 2018, 24(3), 613-622. https://doi.org/10.31209/2018.100000028

Abstract

In order to study the braking energy regeneration characteristics of the Frontmounted Parallel Hydraulic Hybrid Crane (FPHHC), the AMESim simulation models are established and analyzed by establishing the vehicle dynamics model and referencing to the actual data of the crane and physical hydraulic components, the simulation results are verified by road tests on the experimental prototype. The experiment results basically match with the simulation results. In the vehicle braking process, the hydraulic hybrid system of the experimental prototype can effectively recycle the vehicle braking energy, the energy recovery rate is up to 50.84%, and the energy-saving effect is obvious. The performance in terms of the vehicle acceleration and braking has obviously been improved, then the prototype crane, which can show that this system has a certain practical significance in saving energy.

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Keywords

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