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Parameterization and validation of an integrated electro-thermal cylindrical lfp battery model
- In ASME 2012 5th Annual Dynamic Systems and Control Conference, Dynamic Systems and Control Division, ASME
, 2012
"... In this paper the parameterization of an integrated electro-thermal model for an A123 26650 LiFePO4 battery is presented. The electrical dynamics of the cell are described by an equivalent circuit model. The resistances and capacitances of the equivalent circuit model are identified at different tem ..."
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In this paper the parameterization of an integrated electro-thermal model for an A123 26650 LiFePO4 battery is presented. The electrical dynamics of the cell are described by an equivalent circuit model. The resistances and capacitances of the equivalent circuit model are identified at different temperatures and SOC’s, for charging and discharging. Functions are chosen to charac-terize the fitted parameters. A two-state thermal model is used to capture the core and surface temperatures of the battery. The electrical model is coupled with the thermal model through heat generation. Parameters of the thermal model are identified us-ing a least squares algorithm. The electro-thermal model is then validated against voltage and surface temperature measurements from a realistic drive cycle experiment. 1
Combined Experimental and Numerical Study of Active Thermal Control of Battery Modules
, 2015
"... Lithium ion (Li-ion) batteries have been identified as a promising solution to meet the increasing demands for alternative energy in electric vehicles (EVs) and hybrid electric vehicle (HEVs). This work describes experimental and numerical study of thermal management of battery module consisting of ..."
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Lithium ion (Li-ion) batteries have been identified as a promising solution to meet the increasing demands for alternative energy in electric vehicles (EVs) and hybrid electric vehicle (HEVs). This work describes experimental and numerical study of thermal management of battery module consisting of cylindrical Li-ion cells, with an emphasis on the use of active control to achieve optimal cooling performance with minimal parasitic power consumption. The major contribution from this work is the first experimental demonstration (based on our review of archival journal and conference literature) and the corresponding analysis of active thermal control of battery modules. The results suggest that the active control strategy, when combined with reciprocating cooling flow, can reduce the parasitic energy consumption and cooling flow amount substantially. Compared with results using passive control with unidirectional cooling flow, the parasitic energy consumption was reduced by about 80%. This contribution was achieved in three steps, which was detailed in this dissertation in chapters 2, 3, and 4, respectively. In the first step, an experimental facility and a corresponding CFD model were developed
1The Estimation of Temperature Distribution in Cylindrical Battery Cells under Unknown Cooling Conditions
"... Abstract—The estimation of temperature inside battery cells requires accurate information about the cooling conditions even when the temperature of the battery surface is measured. This paper presents a novel approach of estimating temperature dis-tribution inside cylindrical batteries under unknown ..."
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Abstract—The estimation of temperature inside battery cells requires accurate information about the cooling conditions even when the temperature of the battery surface is measured. This paper presents a novel approach of estimating temperature dis-tribution inside cylindrical batteries under unknown convective cooling conditions. A computationally efficient thermal model is first developed using a polynomial approximation of the temperature profile inside the battery cell. The Dual Extended Kalman Filter (DEKF) is then applied for the identification of the convection coefficient and the estimation of temperature inside the battery. In the proposed modeling approach, the thermal properties are represented by volume averaged lumped values with uniformly distributed heat generation. The model is parameterized and validated using experimental data from a 2.3 Ah 26650 Lithium-Iron-Phosphate (LFP) battery cell with a forced-air convective cooling during hybrid electric vehicle (HEV) drive cycles. Experimental results show that the proposed DEKF-based estimation method can provide an accurate prediction of core temperature under unknown cooling condition by measuring the cell current, voltage, and surface and ambient temperature. The accuracy is such that the scheme cam also be used for fault detection of a cooling system malfunction.
Constraint Management in Li-ion Batteries: A Modified Reference Governor Approach
"... Abstract — This paper addresses the problem of satisfying state constraints in Li-ion batteries, to maintain safe operation and prolong battery life. Mathematically, these constraints are formulated from a first principles electrochemical model. Consequently, the constraints explicitly model specifi ..."
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Abstract — This paper addresses the problem of satisfying state constraints in Li-ion batteries, to maintain safe operation and prolong battery life. Mathematically, these constraints are formulated from a first principles electrochemical model. Consequently, the constraints explicitly model specific degra-dation mechanisms, such as lithium plating, lithium depletion, overheating, and stress fracture. The critical challenges, how-ever, are that (i) these states evolve according to a system of nonlinear partial differential equations, and (ii) the states are not physically measurable. This paper focuses on the first challenge by utilizing the reference governor concept. The results demonstrate how electrochemical model state informa-tion can be utilized to ensure safe operation, while providing opportunities to enhance energy capacity, power, and charge times in Li-ion batteries. I.
