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Battery modeling and control design ...

Jung, Hoeguk.

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Battery modeling and control design for power systems driven by battery/supercapacitor hybrid energy storage devices.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Battery modeling and control design for power systems driven by battery/supercapacitor hybrid energy storage devices./
作者:	Jung, Hoeguk.
面頁冊數:	116 p.
附註:	Source: Dissertation Abstracts International, Volume: 74-09(E), Section: B.
Contained By:	Dissertation Abstracts International74-09B(E).
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3570329
ISBN:	9781303175183

Battery modeling and control design for power systems driven by battery/supercapacitor hybrid energy storage devices.
Jung, Hoeguk.

Battery modeling and control design for power systems driven by battery/supercapacitor hybrid energy storage devices. - 116 p.

Source: Dissertation Abstracts International, Volume: 74-09(E), Section: B.

Thesis (Ph.D.)--University of Massachusetts Lowell, 2013.

This paper addresses two topics: Battery modeling and control design of DC/DC converters for hybrid energy storage systems. The first part derives simple algorithms for determining parameters of two circuit models for charging/discharging batteries. The problems of identifying parameters for the circuit models are converted into algebraic problems of solving systems of polynomial equations of special structures. A recent algebraic tool is applied to obtain analytical solutions to these polynomial equations and simple algorithms for extracting model parameters from experimental responses. Computational results are obtained for 3 types of batteries: Li-polymer, lead acid and NiMH. On the second topic several important problems are addressed for a typical power system driven by battery/supercapacitor hybrid energy storage devices. The currents in the battery and the supercapacitor are actively controlled by two bidirectional buckboost converters. Detailed investigation is conducted on deriving two state-space averaged models for the whole interconnected system. The averaged models have two control inputs and two bilinear terms. Their simple and clean structure allows them to be conveniently used for control design and simulation. The models are validated via SimPower simulation. The control objective is to track the references of two variables, which are any combination of the source currents and load current/voltage. The control design problem is converted into a numerically efficient optimization problem with linear matrix inequality (LMI) constraints. When the optimization algorithm is applied to an experimental system, the resulting optimal control law is very close to a simple integrator control (with two inputs and two outputs). The simple propotional and integrator control is applied to the system in both simulation and experiment. The results confirm the effectiveness of the modeling and control design methods.

ISBN: 9781303175183Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Battery modeling and control design for power systems driven by battery/supercapacitor hybrid energy storage devices.
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520 $a This paper addresses two topics: Battery modeling and control design of DC/DC converters for hybrid energy storage systems. The first part derives simple algorithms for determining parameters of two circuit models for charging/discharging batteries. The problems of identifying parameters for the circuit models are converted into algebraic problems of solving systems of polynomial equations of special structures. A recent algebraic tool is applied to obtain analytical solutions to these polynomial equations and simple algorithms for extracting model parameters from experimental responses. Computational results are obtained for 3 types of batteries: Li-polymer, lead acid and NiMH. On the second topic several important problems are addressed for a typical power system driven by battery/supercapacitor hybrid energy storage devices. The currents in the battery and the supercapacitor are actively controlled by two bidirectional buckboost converters. Detailed investigation is conducted on deriving two state-space averaged models for the whole interconnected system. The averaged models have two control inputs and two bilinear terms. Their simple and clean structure allows them to be conveniently used for control design and simulation. The models are validated via SimPower simulation. The control objective is to track the references of two variables, which are any combination of the source currents and load current/voltage. The control design problem is converted into a numerically efficient optimization problem with linear matrix inequality (LMI) constraints. When the optimization algorithm is applied to an experimental system, the resulting optimal control law is very close to a simple integrator control (with two inputs and two outputs). The simple propotional and integrator control is applied to the system in both simulation and experiment. The results confirm the effectiveness of the modeling and control design methods.
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