Overview and Optimized Design for Energy Recovery Patents Applied to Hydraulic Systems

Due to their large application quantities with extremely low efficiency, pollutant emissions, high fuel consumption, and oil price, researches on the environment protection and the energy saving of construction machinery, especially hydraulic excavators, become very necessary and urgent. In this chapter, the authors proposed a complete study for the excavators’ hydraulic energy recovery systems. This study is divided into two parts. In the first one, an overview for the energy saving principles is discussed and classed based on the type of the energy recovered. In the second part and once the energy recovery system is selected, the authors proposed a new approach to design the energy recovery system under a typical working cycle. This approach, the global optimization method for parameter identification (GOMPI), uses an optimization technique coupled with the simulated model on simulation software. Finally, results concluded that applying GOMPI model was an efficient solution as it proves its accuracy and efficiency to design any energy recovery patent applied to hydraulic systems. Overview and Optimized Design for Energy Recovery Patents Applied to Hydraulic Systems

[1]  Cheng Guan,et al.  A Parameter Matching Method of the Parallel Hydraulic Hybrid Excavator Optimized with Genetic Algorithm , 2013 .

[2]  Qingfeng Wang,et al.  Research on the energy regeneration systems for hybrid hydraulic excavators , 2010 .

[3]  Sanjiv Singh,et al.  The State of the Art in Automation of Earthmoving , 1997 .

[4]  Xin Wang,et al.  Optimal Matching on Driving System of Hydraulic Hybrid Vehicle , 2011 .

[5]  Hellen Adams,et al.  Patent and Trademark Office , 2017 .

[6]  Zhi Liu,et al.  Hydraulic Excavator Hybrid Power System Parameters Design , 2011, 2011 Second International Conference on Digital Manufacturing & Automation.

[7]  Sun Hui,et al.  Research on the system configuration and energy control strategy for parallel hydraulic hybrid loader , 2010 .

[8]  Michael Rygaard Hansen,et al.  Regeneration of Potential Energy in Hydraulic Forklift Trucks , 2005 .

[9]  Qingfeng Wang,et al.  Development of hybrid powered hydraulic construction machinery , 2010 .

[10]  Zoran Filipi,et al.  Combined optimisation of design and power management of the hydraulic hybrid propulsion system for the 6 × 6 medium truck , 2004 .

[11]  Sanjiv Singh,et al.  A Robotic Excavator for Autonomous Truck Loading , 1999, Auton. Robots.

[12]  Yang Sun,et al.  A improved parallel genetic algorithm based on fixed point theory for the optimal design of multi-body model vehicle suspensions , 2009, 2009 2nd IEEE International Conference on Computer Science and Information Technology.

[13]  Pyung Hun Chang,et al.  Control of a heavy-duty robotic excavator using time delay control with switching action with integral sliding surface , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[14]  B. Douglas Bode,et al.  New capability for remote controlled excavation , 1989 .

[15]  Peng Tian Research on pump-engine match in hydraulic excavator , 2001 .

[16]  Tu Yu,et al.  The Load Sensing Principle of Proportion Multi-channel Valve and its Application in Excavator , 2013, 2013 Third International Conference on Intelligent System Design and Engineering Applications.

[17]  Wei Li,et al.  Research on Potential Energy Recovery of 16T Wheeled Hybrid Excavator , 2011, 2011 Second International Conference on Digital Manufacturing & Automation.

[18]  Peter D. Lawrence,et al.  Impedance control of a teleoperated mini excavator , 1997, 1997 8th International Conference on Advanced Robotics. Proceedings. ICAR'97.

[19]  Sanjiv Singh,et al.  Learning to predict resistive forces during robotic excavation , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[20]  Darcy M. Bullock,et al.  Object-Oriented Programming in Robotics Research for Excavation , 1992 .

[21]  Nariman Sepehri,et al.  Resolved-Mode Teleoperated Control of Heavy-Duty Hydraulic Machines , 1994 .

[22]  Rafic Younes,et al.  Calibration of the Parameters of a Model of an Engineering System Using the Global Optimization Method , 2014, Int. J. Appl. Evol. Comput..

[23]  Pyung-Hun Chang,et al.  The development of anti-windup scheme and stick-slip compensator for time delay control , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

[24]  Pyung Hun Chang,et al.  A straight-line motion tracking control of hydraulic excavator system , 2002 .

[25]  Wang Qing-feng,et al.  Parameter Matching Method for Hybrid Power System of Hydraulic Excavator , 2008 .

[26]  Qingfeng Wang,et al.  Hydraulic accumulator-motor-generator energy regeneration system for a hybrid hydraulic excavator , 2012 .

[27]  S. M. Killough,et al.  Design of the human computer interface on the telerobotic small emplacement excavator , 1995 .

[28]  Quan J. Wang,et al.  Using genetic algorithms to optimise model parameters , 1997 .

[29]  D. Hamby A comparison of sensitivity analysis techniques. , 1995, Health physics.

[30]  Derek W. Seward,et al.  Artificial intelligence in the control and operation of construction plant: the autonomous robot excavator , 1993 .

[31]  Tao Wang,et al.  Design and analysis of compound potential energy regeneration system for hybrid hydraulic excavator , 2012, J. Syst. Control. Eng..

[32]  Ming Zhu,et al.  Coordinated and Force-Feedback Control of Hydraulic Excavators , 1995, ISER.

[33]  Zhang Yanting,et al.  Control strategies of power system in hybrid hydraulic excavator , 2008 .

[34]  Eiji Nakano,et al.  Development of an Advanced Way of Improvement of the Maneuverability of a Backhoe Machine , 1992 .

[35]  Long Quan,et al.  Excavator energy-saving efficiency based on diesel engine cylinder deactivation technology , 2012 .

[36]  Derek W. Seward,et al.  The Development, Control and Operation of an Autonomous Robotic Excavator , 1998, J. Intell. Robotic Syst..

[37]  Takao Nanjo,et al.  Development of New Hybrid Excavator , 2007 .

[38]  Eugeniusz Budny,et al.  Optimal Control of an Excavator Bucket Positioning , 2002 .

[39]  Eugeniusz Budny,et al.  Load-independent control of a hydraulic excavator , 2003 .