CN111985154A - 一种自适应模糊卡尔曼估计soc算法 - Google Patents
一种自适应模糊卡尔曼估计soc算法 Download PDFInfo
- Publication number
- CN111985154A CN111985154A CN202010770487.7A CN202010770487A CN111985154A CN 111985154 A CN111985154 A CN 111985154A CN 202010770487 A CN202010770487 A CN 202010770487A CN 111985154 A CN111985154 A CN 111985154A
- Authority
- CN
- China
- Prior art keywords
- soc
- time
- battery
- algorithm
- period
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004422 calculation algorithm Methods 0.000 title claims abstract description 41
- 230000003044 adaptive effect Effects 0.000 title claims abstract description 12
- 238000012937 correction Methods 0.000 claims abstract description 47
- 230000010287 polarization Effects 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 15
- 230000008569 process Effects 0.000 claims abstract description 9
- 238000007599 discharging Methods 0.000 claims abstract description 6
- 238000005070 sampling Methods 0.000 claims abstract description 6
- 238000002474 experimental method Methods 0.000 claims abstract description 4
- 239000011159 matrix material Substances 0.000 claims description 12
- 230000007704 transition Effects 0.000 claims description 12
- 230000010354 integration Effects 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 5
- 230000005284 excitation Effects 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 4
- 101000802640 Homo sapiens Lactosylceramide 4-alpha-galactosyltransferase Proteins 0.000 claims description 2
- 102100035838 Lactosylceramide 4-alpha-galactosyltransferase Human genes 0.000 claims description 2
- 102220484577 Protein NDNF_S43A_mutation Human genes 0.000 claims description 2
- 239000003990 capacitor Substances 0.000 claims description 2
- 230000006870 function Effects 0.000 claims description 2
- 238000005259 measurement Methods 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 abstract description 2
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 9
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
- G06F17/12—Simultaneous equations, e.g. systems of linear equations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/06—Power analysis or power optimisation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Computer Hardware Design (AREA)
- Geometry (AREA)
- Medical Informatics (AREA)
- Operations Research (AREA)
- Algebra (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Databases & Information Systems (AREA)
- Tests Of Electric Status Of Batteries (AREA)
- Artificial Intelligence (AREA)
- Secondary Cells (AREA)
Abstract
Description
Claims (4)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010770487.7A CN111985154B (zh) | 2020-08-04 | 2020-08-04 | 一种自适应模糊卡尔曼估计soc算法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010770487.7A CN111985154B (zh) | 2020-08-04 | 2020-08-04 | 一种自适应模糊卡尔曼估计soc算法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111985154A true CN111985154A (zh) | 2020-11-24 |
CN111985154B CN111985154B (zh) | 2023-08-22 |
Family
ID=73444443
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010770487.7A Active CN111985154B (zh) | 2020-08-04 | 2020-08-04 | 一种自适应模糊卡尔曼估计soc算法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111985154B (zh) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112485680A (zh) * | 2020-11-27 | 2021-03-12 | 浙江零跑科技有限公司 | 一种电池soc估算方法 |
CN112858929A (zh) * | 2021-03-16 | 2021-05-28 | 上海理工大学 | 一种基于模糊逻辑与扩展卡尔曼滤波的电池soc估计方法 |
CN115754755A (zh) * | 2021-09-02 | 2023-03-07 | 比亚迪股份有限公司 | 电池荷电状态的估计方法和装置 |
CN117269801A (zh) * | 2023-11-22 | 2023-12-22 | 潍柴新能源动力科技有限公司 | 电池荷电状态的确定方法、确定装置和电子设备 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104678305A (zh) * | 2013-12-02 | 2015-06-03 | 北汽福田汽车股份有限公司 | 电池荷电状态soc的计算方法及装置 |
CN109061496A (zh) * | 2018-08-10 | 2018-12-21 | 安徽力高新能源技术有限公司 | 一种利用扩展卡尔曼滤波算法估算锂电池soc的方法 |
CN110632520A (zh) * | 2019-10-17 | 2019-12-31 | 西安工业大学 | 一种动力电池soc的估算装置及其估算方法 |
CN111044916A (zh) * | 2020-01-02 | 2020-04-21 | 北京理工大学 | 一种动力电池的参数与全区间soc联合估计的方法 |
CN111216595A (zh) * | 2020-01-03 | 2020-06-02 | 安徽力高新能源技术有限公司 | 基于锂电池等效电路模型的重度混合动力汽车soc校准方法 |
CN111289911A (zh) * | 2020-04-03 | 2020-06-16 | 深圳天邦达新能源技术有限公司 | 基于电池的soc估算方法、装置以及电子设备 |
-
2020
- 2020-08-04 CN CN202010770487.7A patent/CN111985154B/zh active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104678305A (zh) * | 2013-12-02 | 2015-06-03 | 北汽福田汽车股份有限公司 | 电池荷电状态soc的计算方法及装置 |
CN109061496A (zh) * | 2018-08-10 | 2018-12-21 | 安徽力高新能源技术有限公司 | 一种利用扩展卡尔曼滤波算法估算锂电池soc的方法 |
CN110632520A (zh) * | 2019-10-17 | 2019-12-31 | 西安工业大学 | 一种动力电池soc的估算装置及其估算方法 |
CN111044916A (zh) * | 2020-01-02 | 2020-04-21 | 北京理工大学 | 一种动力电池的参数与全区间soc联合估计的方法 |
CN111216595A (zh) * | 2020-01-03 | 2020-06-02 | 安徽力高新能源技术有限公司 | 基于锂电池等效电路模型的重度混合动力汽车soc校准方法 |
CN111289911A (zh) * | 2020-04-03 | 2020-06-16 | 深圳天邦达新能源技术有限公司 | 基于电池的soc估算方法、装置以及电子设备 |
Non-Patent Citations (5)
Title |
---|
L. ZHONGXIAOI ETAL: "《Alternate Adaptive Extended Kalman Filter and Ampere-hour Counting Method to Estimate the State of Charge》", 《2018 IEEE INTERNATIONAL POWER ELECTRONICS AND APPLICATION CONFERENCE AND EXPOSITION (PEAC)》 * |
方磊;陈勇;赵理;殷康胜;郑阳;: "基于模糊控制的扩展卡尔曼滤波SOC估计研究", 系统仿真学报, no. 01 * |
林程;张潇华;熊瑞;: "基于模糊卡尔曼滤波算法的动力电池SOC估计", 电源技术, no. 09 * |
王贤;宋政湘;杨;耿英三;: "基于扩展卡尔曼滤波算法的新型液态金属电池的荷电状态在线估算", 电力电容器与无功补偿, no. 05 * |
邓宫泰;马磊;贾俊波;韩明;: "基于模型估计的LiFePO_4电池EKF滤波算法SOC估计研究", 电源技术, no. 10 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112485680A (zh) * | 2020-11-27 | 2021-03-12 | 浙江零跑科技有限公司 | 一种电池soc估算方法 |
CN112485680B (zh) * | 2020-11-27 | 2024-04-23 | 浙江零跑科技股份有限公司 | 一种电池soc估算方法 |
CN112858929A (zh) * | 2021-03-16 | 2021-05-28 | 上海理工大学 | 一种基于模糊逻辑与扩展卡尔曼滤波的电池soc估计方法 |
CN115754755A (zh) * | 2021-09-02 | 2023-03-07 | 比亚迪股份有限公司 | 电池荷电状态的估计方法和装置 |
CN117269801A (zh) * | 2023-11-22 | 2023-12-22 | 潍柴新能源动力科技有限公司 | 电池荷电状态的确定方法、确定装置和电子设备 |
CN117269801B (zh) * | 2023-11-22 | 2024-03-01 | 潍柴新能源动力科技有限公司 | 电池荷电状态的确定方法、确定装置和电子设备 |
Also Published As
Publication number | Publication date |
---|---|
CN111985154B (zh) | 2023-08-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111985154B (zh) | 一种自适应模糊卡尔曼估计soc算法 | |
CN113466723B (zh) | 确定电池荷电状态的方法及装置,电池管理系统 | |
CN110596593B (zh) | 基于智能自适应扩展卡尔曼滤波的锂离子电池soc估计方法 | |
CN110441694B (zh) | 基于多重渐消因子卡尔曼滤波锂电池荷电状态估计方法 | |
CN109164391B (zh) | 一种动力电池荷电状态在线估算方法及系统 | |
CN110398691B (zh) | 基于改进自适应双无迹卡尔曼滤波器的锂离子动力电池SoC估计方法 | |
CN108594135A (zh) | 一种用于锂电池均衡充放电控制的soc估算方法 | |
CN109143102B (zh) | 一种安时积分估算锂电池soc方法 | |
CN105223506A (zh) | 使用双扩展卡尔曼滤波器的电池状态估计方法和系统 | |
CN111048857B (zh) | 电池组的ocv-soc曲线更新方法、电池管理系统及车辆 | |
CN110967644A (zh) | 电池组soc的修正方法、电池管理系统以及车辆 | |
CN115932591A (zh) | 基于pid-ekf的锂电池soc估算方法、系统、介质及电子设备 | |
CN115656848A (zh) | 一种基于容量修正的锂电池soc估算方法 | |
CN110716146A (zh) | 一种动力电池开路电压的估计方法 | |
CN114740385A (zh) | 一种自适应的锂离子电池荷电状态估计方法 | |
CN116990691A (zh) | 一种电池剩余满充时间的评估方法、装置、设备和介质 | |
CN111999654A (zh) | 一种自适应扩展卡尔曼估计soc算法 | |
CN113671377A (zh) | 一种基于改进ekf算法的锂电池soc估算方法 | |
CN110726937A (zh) | 用于确定状态噪声协方差矩阵的方法和相应设备 | |
CN116718920B (zh) | 基于rnn优化扩展卡尔曼滤波的锂电池soc估算方法 | |
CN117706370A (zh) | 一种电化学储能荷电状态估计方法及装置 | |
CN117074980A (zh) | 基于安时积分参考补偿的磷酸铁锂电池soc估计方法 | |
CN115015763A (zh) | Soc估算校准方法、设备及介质 | |
CN113030741B (zh) | 基于aukf的电池模型参数和soc估算方法、设备和介质 | |
CN116165545A (zh) | 基于无迹卡尔曼滤波和神经网络的电池soc状态估计方法 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB02 | Change of applicant information |
Address after: Room 501, No. 8, No. 300, Changjiang Road, Yantai Economic and Technological Development Zone, Yantai Area, China (Shandong) Pilot Free Trade Zone, Yantai City, Shandong Province, 264006 Applicant after: Ligao (Shandong) New Energy Technology Co.,Ltd. Address before: No. 300, Changjiang Road, Yantai Economic and Technological Development Zone, Shandong Province Applicant before: LIGO (Shandong) New Energy Technology Co.,Ltd. |
|
CB02 | Change of applicant information | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CP03 | Change of name, title or address |
Address after: No. 15 Hengyang Road, Guxian Street, Yantai Economic and Technological Development Zone, Shandong Province, China 265503 Patentee after: Ligao (Shandong) New Energy Technology Co.,Ltd. Country or region after: China Address before: Room 501, No. 8, No. 300, Changjiang Road, Yantai Economic and Technological Development Zone, Yantai Area, China (Shandong) Pilot Free Trade Zone, Yantai City, Shandong Province, 264006 Patentee before: Ligao (Shandong) New Energy Technology Co.,Ltd. Country or region before: China |
|
CP03 | Change of name, title or address |