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.
Keywords
Cite This Article
Y. Chen, X. Liu, X. Wang and J. Chen, "Simulation and data analysis of energy recovery sensing on a parallel hydraulic hybrid crane,"
Intelligent Automation & Soft Computing, vol. 24, no.3, pp. 613–622, 2018.