An efficient scheduling algorithm for multiple charge migration tasks in hybrid electrical energy storage systems

Qing Xie; Di Zhu; Yanzhi Wang; Massoud Pedram; Younghyun Kim; Naehyuck Chang

doi:10.1109/ASPDAC.2013.6509690

An efficient scheduling algorithm for multiple charge migration tasks in hybrid electrical energy storage systems

Qing Xie, Di Zhu, Yanzhi Wang, Massoud Pedram, Younghyun Kim, Naehyuck Chang

Research output: Chapter in Book/Entry/Poem › Conference contribution

7 Scopus citations

Abstract

Hybrid electrical energy storage (HEES) systems are comprised of multiple banks of heterogeneous electrical energy storage (EES) elements with distinct properties. This paper defines and solves the problem of scheduling multiple charge migration tasks in HEES systems with the objective of minimizing the total energy drawn from the source banks. The solution approach consists of two steps: (i) Finding the best charging current profile and voltage level setting for the Charge Transfer Interconnect (CTI) bus for each charge migration task, and (ii) Merging and scheduling the charge migration tasks. Experimental results demonstrate improvements of up to 32.2% in the charge migration efficiency compared to baseline setups in an example HEES system.

Original language	English (US)
Title of host publication	2013 18th Asia and South Pacific Design Automation Conference, ASP-DAC 2013
Pages	749-754
Number of pages	6
DOIs	https://doi.org/10.1109/ASPDAC.2013.6509690
State	Published - 2013
Externally published	Yes
Event	2013 18th Asia and South Pacific Design Automation Conference, ASP-DAC 2013 - Yokohama, Japan Duration: Jan 22 2013 → Jan 25 2013

Publication series

Name	Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

Other

Other	2013 18th Asia and South Pacific Design Automation Conference, ASP-DAC 2013
Country/Territory	Japan
City	Yokohama
Period	1/22/13 → 1/25/13

ASJC Scopus subject areas

Computer Science Applications
Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering

Access to Document

10.1109/ASPDAC.2013.6509690

Cite this

Xie, Q., Zhu, D., Wang, Y., Pedram, M., Kim, Y., & Chang, N. (2013). An efficient scheduling algorithm for multiple charge migration tasks in hybrid electrical energy storage systems. In 2013 18th Asia and South Pacific Design Automation Conference, ASP-DAC 2013 (pp. 749-754). Article 6509690 (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC). https://doi.org/10.1109/ASPDAC.2013.6509690

An efficient scheduling algorithm for multiple charge migration tasks in hybrid electrical energy storage systems. / Xie, Qing; Zhu, Di; Wang, Yanzhi et al.
2013 18th Asia and South Pacific Design Automation Conference, ASP-DAC 2013. 2013. p. 749-754 6509690 (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Xie, Q, Zhu, D, Wang, Y, Pedram, M, Kim, Y & Chang, N 2013, An efficient scheduling algorithm for multiple charge migration tasks in hybrid electrical energy storage systems. in 2013 18th Asia and South Pacific Design Automation Conference, ASP-DAC 2013., 6509690, Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, pp. 749-754, 2013 18th Asia and South Pacific Design Automation Conference, ASP-DAC 2013, Yokohama, Japan, 1/22/13. https://doi.org/10.1109/ASPDAC.2013.6509690

Xie Q, Zhu D, Wang Y, Pedram M, Kim Y, Chang N. An efficient scheduling algorithm for multiple charge migration tasks in hybrid electrical energy storage systems. In 2013 18th Asia and South Pacific Design Automation Conference, ASP-DAC 2013. 2013. p. 749-754. 6509690. (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC). doi: 10.1109/ASPDAC.2013.6509690

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abstract = "Hybrid electrical energy storage (HEES) systems are comprised of multiple banks of heterogeneous electrical energy storage (EES) elements with distinct properties. This paper defines and solves the problem of scheduling multiple charge migration tasks in HEES systems with the objective of minimizing the total energy drawn from the source banks. The solution approach consists of two steps: (i) Finding the best charging current profile and voltage level setting for the Charge Transfer Interconnect (CTI) bus for each charge migration task, and (ii) Merging and scheduling the charge migration tasks. Experimental results demonstrate improvements of up to 32.2% in the charge migration efficiency compared to baseline setups in an example HEES system.",

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AB - Hybrid electrical energy storage (HEES) systems are comprised of multiple banks of heterogeneous electrical energy storage (EES) elements with distinct properties. This paper defines and solves the problem of scheduling multiple charge migration tasks in HEES systems with the objective of minimizing the total energy drawn from the source banks. The solution approach consists of two steps: (i) Finding the best charging current profile and voltage level setting for the Charge Transfer Interconnect (CTI) bus for each charge migration task, and (ii) Merging and scheduling the charge migration tasks. Experimental results demonstrate improvements of up to 32.2% in the charge migration efficiency compared to baseline setups in an example HEES system.

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An efficient scheduling algorithm for multiple charge migration tasks in hybrid electrical energy storage systems

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