State-of-charge (SoC) and state-of-health (SoH) define the amount of charge and rated capacity loss of a battery, respectively. In order to determine these two parameters, open-circuit voltage(OCV) and internal resistance of battery are indispensable. The motivation of this study is to develop an online, simple, training-free, and easily implementable scheme that is capable of estimating such parameters, particularly for the lithium-ion battery. Based on an equivalent circuit model (ECM), the electrical performance of a battery can be formulated into state-space representation. Also, underdetermined model parameters can be arranged to appear linearly so that an adaptive control approach can be applied. The algorithm is based on the Lyapunov-stability criteria. OCV and internal resistance can be extracted exactly without limitations of a system input signal, such as persistent excitation(PE), enhancing the applicability for power systems. Meanwhile, 1-D electrochemical lump thermal model of battery is employed to establish the relationship between temperature, and physical parameters of battery. In the first phase, results of using adaptive control observer to estimate these parameters is presented by applying 1-D electrochemical lump thermal model.
摘要
Abstract
感谢
TABLE OF CONTENTS
LIST OF FIGURES
LIST OF TABLES
NOMENCLATURE
Chapter 1 Introduction
Objectives
Goals
Chapter 2 Previous of the Literature
action plans
Chapter 2 Method of Research
Mathematical battery modeling
Adaptive Control Algorithm
Modeling of 1-D (one-dimensional) Lumped Electrochemical-Thermal for Lithium-ion Battery
Implementation of SoC and SoH determination
Chapter 4 Result
Results of Thermal Model
Results of Estimated SOC and SOH by
Considering Thermal Effect
Chapter 5 Conclusion
References
Supplement

LIST OF FIGURES
Fig.1 The Schematic about main Ideas of this study. 2 ..........................
Fig.2 The action plans step of this study. 5 .............................................
Fig.3 A generalized ECM for LIB. 6 ........................................................
Fig.4 Relationship between concentration of Li+ ion of solid electrolyte
Phase and Li+ ion flux j ;and the temperature distribution 7 ...................
Fig.5 Discretization steps of φs. 11 ..........................................................
Fig.6 Discretization of the 1-D thermal model equations, and build the
TDMA 12 ...................................................................................................
Fig. 7. Scheme of SoC and SoH determination based on adaptive
control approach[5] 13 .............................................................................
Fig. 8. Tracking process by using adaptive control approach in MATLAB/
simulink. 14 ..............................................................................................
Fig.9 The computed voltage response of a 6Ah battery subjected to an
arbitrary load (current) over a 15-minute period. positive current denotes
discharge 15 .............................................................................................
Fig.10 Computed concentration of li+ ion, electrolyte phase electric
potential response of a 6Ah battery subjected to a regular load over a
60s period. 15 ...........................................................................................
Fig.11 Computed electrolyte phase concentration of li+ ion, of a 6Ah
battery subjected to 1/2C discharge. 16 ...................................................
Fig.12 Computed voltage response of a 6Ah battery subjected to 1/2C
discharge. 16 ............................................................................................
Fig.13 Temperature at negative pole, of 6A discharge in 1hour. 17 .........
Fig.14 Temperature distribution at 1C discharging rates at 3600s. 17 ....
Fig.15 Temperature at negative pole, of a 6Ah battery subjected to
1C~10C each load discharge . 20 ............................................................
Fig. 16. Estimated internal resistance and OCV in simulation: 21 ............
(a) Rs , (b) OCV, and (c)Rt 21
Fig. 17. Estimated internal resistance and OCV in simulation: 22 ............
(a) terminal battery voltage, (b) battery current, and (c) estimated error
.............................................................................................................22
Fig. 18.Estimated internal resistance and OCV in simulation OCV part.
.............................................................................................................23
Fig. 19. Results of Dr.Chiang’s program before Revised [5] 23 ................
Fig 20. Results of Feng fei ’s program at 30 °C: (a) the estimated voltage
and measured voltage profiles (b) the estimation error. [4] 24 .................
Fig 21. Results of Feng fei ’s program from 0 °C–40 °C: (a) OCV [4] 24

LIST OF TABLES
Table1: 1-D Electrochemical model equations……………………………8
Table2: Values of various parameters for battery simulated in the present
work geometry…………………………..……………………………………9
Table 3: Thermal parameters of Li-Ion cell……….………………………18
Table 4: Thermal parameters best searching……..……………………..19
Table 5: Parameters of models working……..……………………………29
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