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Modeling and Control of a Modular Battery Management System for Lithium-Ion Battery Packs.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Modeling and Control of a Modular Battery Management System for Lithium-Ion Battery Packs./
作者:	Zhang, Fan.
面頁冊數:	1 online resource (106 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.
標題:	Electrical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355544053

Modeling and Control of a Modular Battery Management System for Lithium-Ion Battery Packs.
Zhang, Fan.

Modeling and Control of a Modular Battery Management System for Lithium-Ion Battery Packs. - 1 online resource (106 pages)

Source: Dissertation Abstracts International, Volume: 79-04(E), Section: B.

Thesis (Ph.D.)--University of Colorado at Boulder, 2017.

Includes bibliographical references

High voltage (HV) traction battery packs in electric-drive vehicles (HEV, PHEV, BEV) consist of a large number of battery cells connected in series. As individual cells exhibit mismatches in characteristics such as capacity, inner resistance, and run-time state-of-charge (SOC), cell balancing must be incorporated into the battery management system (BMS). Conventional passive cell balancing does not fully address the mismatch issues, which leads to shorter battery lifetime, and the need to over-size the battery pack. To overcome the problems associated with the conventional architecture, a modular battery management system incorporating both active cell balancing and high voltage (HV) to low-voltage (LV) dc-dc conversion has been developed. The HV-to-LV converter is a series-input, parallel-output dc-dc system with inputs connected across the battery cells or cell modules, while paralleled outputs supply loads on the LV bus. This thesis is focused on modeling, control and design of the modular battery management system. Several critical issues are addressed: (1) stability of the converter system with distributed control in energy storage application is analyzed and simulated; (2) the steady-state model of the dual-active-bridge (DAB) isolated converter with phase-shift modulation is refined and applied to the modular converter system with cell balancing; (3) practical methods for estimation of the Lithium-ion battery state-of-charge (SOC) and state-of-health (SOH) are developed in forms suitable for implementation on low-cost microcontrollers. Finally, a modular hybrid balancing system with module-level active balancing and cell-level passive balancing is developed and experimentally validated. The techniques developed in this thesis can be applied to designs of large automotive battery packs with improved performance, reduced size, reduced cost, and longer lifetime.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355544053Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Modeling and Control of a Modular Battery Management System for Lithium-Ion Battery Packs.
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520 $a High voltage (HV) traction battery packs in electric-drive vehicles (HEV, PHEV, BEV) consist of a large number of battery cells connected in series. As individual cells exhibit mismatches in characteristics such as capacity, inner resistance, and run-time state-of-charge (SOC), cell balancing must be incorporated into the battery management system (BMS). Conventional passive cell balancing does not fully address the mismatch issues, which leads to shorter battery lifetime, and the need to over-size the battery pack. To overcome the problems associated with the conventional architecture, a modular battery management system incorporating both active cell balancing and high voltage (HV) to low-voltage (LV) dc-dc conversion has been developed. The HV-to-LV converter is a series-input, parallel-output dc-dc system with inputs connected across the battery cells or cell modules, while paralleled outputs supply loads on the LV bus. This thesis is focused on modeling, control and design of the modular battery management system. Several critical issues are addressed: (1) stability of the converter system with distributed control in energy storage application is analyzed and simulated; (2) the steady-state model of the dual-active-bridge (DAB) isolated converter with phase-shift modulation is refined and applied to the modular converter system with cell balancing; (3) practical methods for estimation of the Lithium-ion battery state-of-charge (SOC) and state-of-health (SOH) are developed in forms suitable for implementation on low-cost microcontrollers. Finally, a modular hybrid balancing system with module-level active balancing and cell-level passive balancing is developed and experimentally validated. The techniques developed in this thesis can be applied to designs of large automotive battery packs with improved performance, reduced size, reduced cost, and longer lifetime.
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