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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bong Soo Yoo Jeongmok Cho Cheol Min Hwang Joongseon Joh |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Mechanical Engineering, Texas A&M University, College Station, USA (Jeongmok Cho) || Department of Control and Instrumentation Engineering, Changwon National University, Changwon, Korea (Bong Soo Yoo; Cheol Min Hwang; Joongseon Joh) |
| Abstract | In this research, a special simulation program for the conceptual design of parallel-type hybrid excavator is developed. It yields the necessary motor size, ESS(Energy Storage System) size, life span of the ESS, parameters of the energy management control algorithm, and the amount of the consumed fuel. Especially, the parameters of the energy management control algorithm and the size of ESS are optimized automatically using GA(Genetic Algorithm) from the view point of fuel efficiency. This simulation program is actually used to hybridize a practical 21 ton excavator and increase fuel efficiency by more than 20% even though only the main power part is hybridized. |
| Starting Page | 318 |
| Ending Page | 322 |
| File Size | 2754689 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457707148 |
| e-ISBN | 9784907764395 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-13 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | SICE (The Society of Instrument and Cont |
| Subject Keyword | Engines Fuels Vehicles Algorithm design and analysis Energy management Load modeling Torque Design Hybrid Excavator Swing System Genetic Algorithm |
| Content Type | Text |
| Resource Type | Article |
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