TY - GEN
T1 - Extending the lifetime of fuel cell based hybrid systems
AU - Zhuo, Jianli
AU - Chakrabarti, Chaitali
AU - Chang, Naehyuck
AU - Vrudhula, Sarma
PY - 2006
Y1 - 2006
N2 - Fuel cells are clean power sources that have much higher energy densities and lifetimes compared to batteries. However, fuel cells have limited load following capabilities and cannot be efficiently utilized if used in isolation. In this work, we consider a hybrid system where a fuel cell based hybrid power source is used to provide power to a DVFS processor. The hybrid power source consists of a room temperature fuel cell operating as the primary power source and a Li-ion battery (that has good load following capability) operating as the secondary source. Our goal is to develop polices to extend the lifetime of the fuel cell based hybrid system. First, we develop a charge based optimization framework which minimizes the charge loss of the hybrid system (and not the energy consumption of the DVFS processor). Next, we propose a new algorithm to minimize the charge loss by judiciously scaling the load current. We compare the performance of this algorithm with one that has been optimized for energy, and demonstrate its superiority. Finally, we evaluate the performance of the hybrid system under different system configurations and show how to determine the best combination of fuel cell size and battery capacity for a given embedded application.
AB - Fuel cells are clean power sources that have much higher energy densities and lifetimes compared to batteries. However, fuel cells have limited load following capabilities and cannot be efficiently utilized if used in isolation. In this work, we consider a hybrid system where a fuel cell based hybrid power source is used to provide power to a DVFS processor. The hybrid power source consists of a room temperature fuel cell operating as the primary power source and a Li-ion battery (that has good load following capability) operating as the secondary source. Our goal is to develop polices to extend the lifetime of the fuel cell based hybrid system. First, we develop a charge based optimization framework which minimizes the charge loss of the hybrid system (and not the energy consumption of the DVFS processor). Next, we propose a new algorithm to minimize the charge loss by judiciously scaling the load current. We compare the performance of this algorithm with one that has been optimized for energy, and demonstrate its superiority. Finally, we evaluate the performance of the hybrid system under different system configurations and show how to determine the best combination of fuel cell size and battery capacity for a given embedded application.
KW - Battery
KW - DVFS system
KW - Fuel cell
KW - Hybrid systems
KW - Task scaling
UR - http://www.scopus.com/inward/record.url?scp=34547226729&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34547226729&partnerID=8YFLogxK
U2 - 10.1145/1146909.1147056
DO - 10.1145/1146909.1147056
M3 - Conference contribution
AN - SCOPUS:34547226729
SN - 1595933816
SN - 1595933816
SN - 9781595933812
T3 - Proceedings - Design Automation Conference
SP - 562
EP - 567
BT - 2006 43rd ACM/IEEE Design Automation Conference, DAC'06
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 43rd Annual Design Automation Conference, DAC 2006
Y2 - 24 July 2006 through 28 July 2006
ER -