@Article{2018.100000028,
AUTHOR = {Youquan Chen, Xinhui Liu, Xin Wang, Jinshi Chen},
TITLE = {Simulation and Data Analysis of Energy Recovery Sensing on a Parallel  Hydraulic Hybrid Crane},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {3},
PAGES = {613--622},
URL = {http://www.techscience.com/iasc/v24n3/39786},
ISSN = {2326-005X},
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.},
DOI = {10.31209/2018.100000028}
}