System Design of AMHS using Wireless Power Transfer (WPT) Technology for Semiconductor Wafer FAB

Transcription

1 System Design o AMHS using Wireless Power Transer (WPT) Technology or Semiconductor Waer FAB Young Jae Jang, PhD Min Seok Lee Jin Hyeok Park Industrial and Systems Engineering KAIST 1

2 Goals o the Talk Introduce the new AMHS solution with wireless power transer technology Present the current research progress Provide the researchers with the new research area and opportunities 2

3 Wireless Power Transer (WPT) Introduction to wireless power transer Nikola Tesla (1904) Tesla's Tower Supply Wireless Power to Run All the Earth s Industry Faraday s Law o Induction in Maxwell s Equations Marin Soljačić (2006) Andre Kurs, et al., Wireless Power Transer via Strongly Coupled Magnetic Resonances, Science, vol no. 5834, pp , July 6, 2006 Strongly coupled sel-resonant coils pers.html 3

4 WTP Applications Smart phones Smart watches Tooth brush 4

5 WTP Applications On Line Electric Vehicle (OLEV) at KAIST OLEV is the oicial name or the KAIST wireless charging EVs Plug-In Electric Vehicle Stationary Wireless Charging E..V. On-Line Electric Vehicle (OLEV) 5

6 Wireless Charging Electric Vehicle KAIST OLEV System currently operating at the KAIST campus, Gumi City, and Sejong City 6

7 New Research Opportunity Wireless Charging EV has been established as an emerging research topic in the area o power electronics and other electrical engineering related ields IEEE Electriication (2013) IEEE Microwave Mag (2011) IEEE Trans. Power Electronics Special Issue on Wireless Power (2014) However, Wireless Charging EV is still new to Transportation and ITS communities 7

8 WPT in Semiconductor FAB WTP technology used in LCD Stockers 8

9 Wireless Charging OHT Dynamic charging or OHT Charging is done while vehicles are in motion Power track supplying the power Power Track Power Track OHT Battery pack SOC Time 11

10 Wireless Charging OHT Advantage No idle vehicle or charging ~ 15% vehicles are idle or charging in a FAB X No charging points space is saved No reroute or charging Disadvantage EMI and electric wave power track allocation is restricted Expensive power tracks and battery pack size 12

11 Allocation o Power Tracks Where to allocate the power track? 13

12 Why It is a Challenging Problem? Allocation restrictions Cost trade o Trade o between the battery size and the allocation o the power transmitter Two extreme cases The transmitter units are installed on the entire route No battery is needed No transmitter is installed and the vehicle is equipped with a large battery Power Transmitter Cost Battery cost 14

13 Goals o the Optimization Model Evaluate the optimal allocation o the transmitter units and the battery size Input values are the vehicle velocity proile, route inormation, and other physical actors Vehicle velocity proile Number o vehicles Route inormation Cost actors Physical actors o the vehicle Optimization Model Optimal allocation o the transmitters Battery size 15

14 Modeling Approach Analytical vehicle power lowing model is used or the power requirement evaluation 16

15 Energy Dynamics o t i1 I ti P bat (t)dt I low, i 1,2,...,n 1 t i 17

16 Energy Dynamics I ti1 Min I high, I ti P bat (t)dt I CS (t i1 t i1 t i t o i1 ), i 1,2,...,n 1 18

17 Energy Dynamics I ti1 Min I high, I ti P bat (t)dt I CS (t i1 t i1 t i t o i1 ), i 1,2,...,n 1 19

18 Foundation o the Optimization Model I high 0 t 1 o P bat (t)dt I low I t1 Min I high,i high P bat (t)dt I CS (t i I ti1 o t i1 0 t 1 t i o ) I ti P bat (t)dt I low, i 1,2,...,n 1 t i Min I high, I ti P bat (t)dt I CS (t i1 t i1 x i x o i1, i 1,...,n 1, and y i L. i t i t o i1 ), i 1,2,...,n 1 x i o x i, i 1,...,n 20

19 Multiple Route Problem Multiple Route, Multiple Stations Model Multiple route: m number o route (route j = 1,, m) Stations: mj number o stations on route j Example routes 21

20 Multiple Route Problem Multiple Route, Multiple Stations Model Multiple route: m number o route (route j = 1,, m) Stations: m j number o stations on route j Example routes 7 routes 5 stations on each route 2 3 : Station Cost beneit: Shared stations by dierent routes

21 MIP Model or Multiple Route 23

22 Preliminary Numerical Results Example case Consisting o 120 candidate spots Demand data based on the distance are already given Hypothetical 6 loops passing through some o total stations CPLEX 12.5 and GA implemented on MATLAB are used to ind solutions 24

23 Numerical Analysis Numerical experiment results Description Calculation time(s) Minimum cost Algorithm CPLEX GA CPLEX GA Dierence (%) One route , ,100 0 Two routes , ,900 0 Three routes , , Four routes ,074,000 1,108, Five routes ,266,600 1,325, Six routes 40, ,366,000 1,445,

24 Numerical Analysis Numerical experiment results Rapidly increase in CPLEX 26

25 Conclusion Introduced the new AMHS solution using WPT Presented system design issue in the wireless charging based OHT Proposed the mathematical optimization or the allocation o the power tracks and battery size Presented the preliminary solutions using GA 27

26 Future Direction Utilizing the rom to moves Incorporating stochastic behaviors Perorming cost beneit analysis comparing to other solutions 28

27 Future Direction Developing the integrated solution Building prototypes Component Design Components Mech/Elec. System System Design Static Optimization Simulation GIS DB Traic DB System + Traic Ino Dynamic Optimization Simulation 29

28 Reerence Young Dae Ko and Young Jae Jang, "The Optimal System Design o the Online Electric Vehicle Utilizing Wireless Power Transmission Technology", IEEE Transactions on Intelligent Transportation Systems, Vol. 14, No. 3, pp , September 2013 Young Jae Jang, Eun Suk Suh, and Jong Woo Kim, "System Architecture and Mathematical Models o Electric Transit Bus System Utilizing Wireless Power Transer Technology." IEEE Systems Journal, 2015, On Line First is available Seungmin Jeong, Young Jae Jang, and Dongsuk Kum, Economic Analysis o the Dynamic Charging Electric Vehicle, IEEE Transactions on Power Electronics, 2015 Accepted Online First is available Young Jae Jang,, Seungmin Jeong, Young Dae Ko, System optimization o the On Line Electric Vehicle operating in a closed environment, Computers & Industrial Engineering, Volume 80, February 2015, Pages