Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification

doi:10.1016/J.JPOWSOUR.2004.02.032

Home
/
Papers
/
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification

Journal Article•DOI•

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification

Gregory L. Plett¹•Institutions (1)

University of Colorado Colorado Springs¹

12 Aug 2004-Journal of Power Sources (Elsevier)-Vol. 134, Iss: 2, pp 262-276

TL;DR: In this article, an extended Kalman filter (EKF) was used to estimate the battery state of charge, power fade, capacity fade, and instantaneous available power of a hybrid electric vehicle battery pack.

read less

About: This article is published in Journal of Power Sources.The article was published on 2004-08-12. It has received 1636 citations till now. The article focuses on the topics: Battery pack & State of charge.

...read moreread less

Citations

PDF

Open Access

More filters

Journal Article•DOI•

A review on the key issues for lithium-ion battery management in electric vehicles

[...]

Languang Lu¹, Xuebing Han¹, Jianqiu Li¹, Jianfeng Hua, Minggao Ouyang¹ - Show less +1 more•Institutions (1)

Tsinghua University¹

15 Mar 2013-Journal of Power Sources

TL;DR: In this article, a brief introduction to the composition of the battery management system (BMS) and its key issues such as battery cell voltage measurement, battery states estimation, battery uniformity and equalization, battery fault diagnosis and so on, is given.

...read moreread less

3,650 citations

Journal Article•DOI•

Thermal runaway caused fire and explosion of lithium ion battery

[...]

Qingsong Wang¹, Ping Ping¹, Xuejuan Zhao¹, Guanquan Chu², Jinhua Sun¹, Chun-Hua Chen¹ - Show less +2 more•Institutions (2)

University of Science and Technology of China¹, Ontario Ministry of Transportation²

15 Jun 2012-Journal of Power Sources

TL;DR: In this paper, a review of the lithium ion battery hazards, thermal runaway theory, basic reactions, thermal models, simulations and experimental works is presented, and the related prevention techniques are summarized and discussed on the inherent safety methods and safety device methods.

...read moreread less

1,825 citations

Journal Article•DOI•

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation

[...]

Gregory L. Plett¹•Institutions (1)

University of Colorado Colorado Springs¹

12 Aug 2004-Journal of Power Sources

TL;DR: In this article, extended Kalman filtering (EKF) is used to estimate battery state-of-charge, power fade, capacity fade, and instantaneous available power for hybrid-electric-vehicle battery packs.

...read moreread less

1,587 citations

Journal Article•DOI•

A comparative study of equivalent circuit models for Li-ion batteries

[...]

Xiaosong Hu¹, Xiaosong Hu², Shengbo Li², Huei Peng²•Institutions (2)

Beijing Institute of Technology¹, University of Michigan²

15 Jan 2012-Journal of Power Sources

TL;DR: In this paper, a comparative study of twelve equivalent circuit models for Li-ion batteries is presented, which are selected from state-of-the-art lumped models reported in the literature.

...read moreread less

1,463 citations

Journal Article•DOI•

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs Part 1. Background

[...]

Gregory L. Plett¹•Institutions (1)

University of Colorado Colorado Springs¹

12 Aug 2004-Journal of Power Sources

TL;DR: In this paper, an extended Kalman filter (EKF) was proposed to estimate the battery state of charge, power fade, capacity fade, and instantaneous available power of a hybrid-electric-vehicle battery pack.

...read moreread less

1,260 citations

Cites methods from "Extended Kalman filtering for batte..."

...We will define SOC more carefully later [3], but what is meant is an indication of the fraction of charge remaining in each cell, from 0 to 100%, available to do useful work....
[...]
...Note that there have been other reported methods for SOC estimation that use Kalman filtering [1,2], but the method in this series of papers expands on these results and also differs in some important respects, as will be outlined later [3]....
[...]
...The second paper [3] describes some mathematical cell models that may be used with this method....
[...]

1
2
3
4
…
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200

Collapse

References

PDF

Open Access

More filters

Journal Article•DOI•

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation

[...]

Gregory L. Plett¹•Institutions (1)

University of Colorado Colorado Springs¹

12 Aug 2004-Journal of Power Sources

...read moreread less

1,587 citations

"Extended Kalman filtering for batte..." refers background or methods in this paper

...Our model has many similarities to a circuit model, except that our fundamental “state” is SOC, not OCV....
[...]
...Keywords:Battery management system (BMS); Hybrid electric vehicle (HEV); Extended Kalman filter (EKF); State of charge (SOC); State of health (SOH); Lithium-ion polymer battery (LiPB)...
[...]

Journal Article•DOI•

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs Part 1. Background

[...]

Gregory L. Plett¹•Institutions (1)

University of Colorado Colorado Springs¹

12 Aug 2004-Journal of Power Sources

...read moreread less

1,260 citations

"Extended Kalman filtering for batte..." refers background in this paper

...Keywords:Battery management system (BMS); Hybrid electric vehicle (HEV); Extended Kalman filter (EKF); State of charge (SOC); State of health (SOH); Lithium-ion polymer battery (LiPB)...
[...]

Journal Article•DOI•

Methods for state-of-charge determination and their applications

[...]

Sabine C. Piller, Marion Perrin, Andreas Jossen

01 Jun 2001-Journal of Power Sources

TL;DR: In this article, the authors introduce commonly used methods for state-of-charge (SOC) determination and establish a relationship between the advantages of different methods and the most common applications.

...read moreread less

1,089 citations

"Extended Kalman filtering for batte..." refers background in this paper

...This paper has proposed five mathematical state-space structures for the purpose of modeling LiPB HEV cell dynamics for their eventual role in HEV BMS algorithms....
[...]
...This paper is the second in a series of three that describe advanced algorithms for a battery management system (BMS) for hybrid electric vehicle (HEV) application....
[...]
...In the third paper [4], we will employ extended Kalman filtering from [3], using the cell models developed here, to implement HEV BMS algorithms....
[...]
...It describes the HEV environment and the requirement specifications for a BMS....
[...]
...This requirement is imposed by the HEV environment where the BMS has no direct control over current and voltage experienced by the battery pack—these are in the domain of the vehicle controller and inverter....
[...]

Journal Article•DOI•

Thermal‐Electrochemical Modeling of Battery Systems

[...]

W. B. Gu¹, Chao Yang Wang¹•Institutions (1)

Pennsylvania State University¹

01 Aug 2000-Journal of The Electrochemical Society

TL;DR: In this paper, the authors developed a thermal and electrochemical coupled model capable of predicting the spatial distribution and temporal evolution of temperature inside a battery, which can provide valuable internal information to help optimize the battery system in a cost effective manner.

...read moreread less

Abstract: As a follow-up of previous work, 1,2 the present work is intended to develop a thermal and electrochemical coupled model capable of predicting the spatial distribution and temporal evolution of temperature inside a battery. It is known that temperature variations inside a battery may greatly affect its performance, life, and reliability. Battery physicochemical properties are generally strong functions of temperature. For example, the equilibrium pressure of hydrogen absorption-desorption, which significantly affects the open-circuit potential of the metal hydride electrode and hence the performance of nickel‐metal hydride batteries, is strongly dependent on temperature. 3 Capacity losses occur at low temperatures due to high internal resistances and at high temperatures due to rapid self-discharge. 4 Therefore, a proper operating temperature range is essential for a battery to achieve optimal performance. In order to prolong the battery cycle life, balanced utilization of active materials is desired, which requires a highly uniform temperature profile inside the battery to avoid localized degradation. More important, the battery temperature may increase significantly due to the self-accelerating characteristics of exothermic side reactions such as oxygen reactions in aqueous batteries, eventually causing thermal runaway. 5-8 An optimal operating range and a high uniformity in the internal temperature distribution constitute two thermal requirements for a battery to operate safely. These two are particularly important for advanced electric-vehicle batteries because of their high energy and power densities, large size, and high charge and discharge rates. Although experimental testing and microcalorimetric measurement 9-11 are necessary to obtain battery thermal data for design and optimization, a mathematical model based on first principles is capable of providing valuable internal information to help optimize the battery system in a cost-effective manner. In general, a battery thermal model is formulated based on the thermal energy balance over a representative elementary volume (REV) in a battery. The differential equation that describes the temperature distribution in the battery takes the following conservation form 12,13

...read moreread less

613 citations

"Extended Kalman filtering for batte..." refers methods in this paper

...A laboratory method for determining SOC is to completely discharge a cell, recording discharged ampere-hours, to determine its present remaining capacity....
[...]

Journal Article•DOI•

A review of state-of-charge indication of batteries by means of a.c. impedance measurements

[...]

Shalini Rodrigues¹, N. Munichandraiah¹, A.K. Shukla¹•Institutions (1)

Indian Institute of Science¹

01 Apr 2000-Journal of Power Sources

TL;DR: In this article, a review consolidates the literature on the prediction of the state-of-charge (SoC) of batteries by means of a.c. impedance measurements.

...read moreread less

435 citations