IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i8p1237-d109143.html
   My bibliography  Save this article

Extended Kalman Filter-Based State of Charge and State of Power Estimation Algorithm for Unmanned Aerial Vehicle Li-Po Battery Packs

Author

Listed:
  • Sunghun Jung

    (Department of Drone System, Chodang University, Muan-gun 58530, Jeollanam-do, Korea)

  • Heon Jeong

    (Department of Fire Administration, Chodang University, Muan-gun 58530, Jeollanam-do, Korea)

Abstract

Customer requirements for unmanned aerial vehicles (UAVs) with long flight times are increasing exponentially in the personal, commercial, and military use areas. Due to their limited payload, large numbers of on-board battery packs cannot be used and this is the main reason behind the need for battery management software (BMS) packages with state of charge (SOC) estimation functions to increase the flight time. At the same time, as the UAV application range has extended widely, the size of UAVs has increased and heavy-duty UAVs are slowly appearing. As a result, the system operating power of the UAVs has been increased tremendously and their safe system power operation has become an issue. This is the main reason for the need of BMS having state of power (SOP) estimation functions. In this work a 6 S Li-Po battery pack is simulated with two ladder equivalent circuit models (ECMs) considering an impedance effect whose parameters are found using hybrid pulse power characterization (HPPC) current patterns with parameter determination using the table-based linear interpolation (TBLI) method. Two state estimation methods, including the current integration method and the extended Kalman filter (EKF) method are developed and the estimation accuracies of SOC and SOP are compared. Results show that the most accurate SOC estimation turns out to be 0.1477% (indoor test with HPPC), 0.1324% (outdoor test with 0 kg payload), and 0.2021% (outdoor test with 10 kg payload). Also, the most accurate SOP estimation error turns out to be 1.2% (indoor test with HPPC), 3.6% (outdoor test with 0 kg payload), and 4.2% (outdoor test with 10 kg payload).

Suggested Citation

  • Sunghun Jung & Heon Jeong, 2017. "Extended Kalman Filter-Based State of Charge and State of Power Estimation Algorithm for Unmanned Aerial Vehicle Li-Po Battery Packs," Energies, MDPI, vol. 10(8), pages 1-13, August.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1237-:d:109143
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/8/1237/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/8/1237/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zuchang Gao & Cheng Siong Chin & Wai Lok Woo & Junbo Jia, 2017. "Integrated Equivalent Circuit and Thermal Model for Simulation of Temperature-Dependent LiFePO 4 Battery in Actual Embedded Application," Energies, MDPI, vol. 10(1), pages 1-22, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aaron Shmaryahu & Nissim Amar & Alexander Ivanov & Ilan Aharon, 2021. "Sizing Procedure for System Hybridization Based on Experimental Source Modeling for Electric Vehicles," Energies, MDPI, vol. 14(17), pages 1-21, August.
    2. Can Aksakal & Altug Sisman, 2018. "On the Compatibility of Electric Equivalent Circuit Models for Enhanced Flooded Lead Acid Batteries Based on Electrochemical Impedance Spectroscopy," Energies, MDPI, vol. 11(1), pages 1-14, January.
    3. Woo-Yong Kim & Pyeong-Yeon Lee & Jonghoon Kim & Kyung-Soo Kim, 2019. "A Nonlinear-Model-Based Observer for a State-of-Charge Estimation of a Lithium-Ion Battery in Electric Vehicles," Energies, MDPI, vol. 12(17), pages 1-20, September.
    4. Sunghun Jung & Yonghyeon Jo & Young-Joon Kim, 2019. "Aerial Surveillance with Low-Altitude Long-Endurance Tethered Multirotor UAVs Using Photovoltaic Power Management System," Energies, MDPI, vol. 12(7), pages 1-14, April.
    5. Sunghun Jung & Yonghyeon Jo & Young-Joon Kim, 2019. "Flight Time Estimation for Continuous Surveillance Missions Using a Multirotor UAV," Energies, MDPI, vol. 12(5), pages 1-15, March.
    6. Yongjie Zhai & Hailong Zhao & Meng Zhao & Songming Jiao, 2018. "Design of Electric Patrol UAVs Based on a Dual Antenna System," Energies, MDPI, vol. 11(4), pages 1-8, April.
    7. Shaojie Ai & Jia Song & Guobiao Cai, 2022. "Sequence-to-Sequence Remaining Useful Life Prediction of the Highly Maneuverable Unmanned Aerial Vehicle: A Multilevel Fusion Transformer Network Solution," Mathematics, MDPI, vol. 10(10), pages 1-23, May.
    8. Wang, Shun-Li & Fernandez, Carlos & Zou, Chuan-Yun & Yu, Chun-Mei & Chen, Lei & Zhang, Li, 2019. "A comprehensive working state monitoring method for power battery packs considering state of balance and aging correction," Energy, Elsevier, vol. 171(C), pages 444-455.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiao Yang & Long Chen & Xing Xu & Wei Wang & Qiling Xu & Yuzhen Lin & Zhiguang Zhou, 2017. "Parameter Identification of Electrochemical Model for Vehicular Lithium-Ion Battery Based on Particle Swarm Optimization," Energies, MDPI, vol. 10(11), pages 1-16, November.
    2. Timur Yunusov & Maximilian J. Zangs & William Holderbaum, 2017. "Control of Energy Storage," Energies, MDPI, vol. 10(7), pages 1-5, July.
    3. Anandh Ramesh Babu & Jelena Andric & Blago Minovski & Simone Sebben, 2021. "System-Level Modeling and Thermal Simulations of Large Battery Packs for Electric Trucks," Energies, MDPI, vol. 14(16), pages 1-15, August.
    4. Xiaolin Wang & Ka Wai Eric Cheng & Yat Chi Fong, 2018. "Non-Equal Voltage Cell Balancing for Battery and Super-Capacitor Source Package Management System Using Tapped Inductor Techniques," Energies, MDPI, vol. 11(5), pages 1-12, April.
    5. Mina Naguib & Aashit Rathore & Nathan Emery & Shiva Ghasemi & Ryan Ahmed, 2023. "Robust Electro-Thermal Modeling of Lithium-Ion Batteries for Electrified Vehicles Applications," Energies, MDPI, vol. 16(16), pages 1-20, August.
    6. Xintian Liu & Zhihao Wan & Yao He & Xinxin Zheng & Guojian Zeng & Jiangfeng Zhang, 2018. "A Unified Control Strategy for Inductor-Based Active Battery Equalisation Schemes," Energies, MDPI, vol. 11(2), pages 1-16, February.
    7. Minhwan Seo & Taedong Goh & Minjun Park & Sang Woo Kim, 2018. "Detection Method for Soft Internal Short Circuit in Lithium-Ion Battery Pack by Extracting Open Circuit Voltage of Faulted Cell," Energies, MDPI, vol. 11(7), pages 1-18, June.
    8. Ruifeng Zhang & Bizhong Xia & Baohua Li & Yongzhi Lai & Weiwei Zheng & Huawen Wang & Wei Wang & Mingwang Wang, 2018. "Study on the Characteristics of a High Capacity Nickel Manganese Cobalt Oxide (NMC) Lithium-Ion Battery—An Experimental Investigation," Energies, MDPI, vol. 11(9), pages 1-20, August.
    9. Chuan-Wei Zhang & Ke-Jun Xu & Lin-Yang Li & Man-Zhi Yang & Huai-Bin Gao & Shang-Rui Chen, 2018. "Study on a Battery Thermal Management System Based on a Thermoelectric Effect," Energies, MDPI, vol. 11(2), pages 1-15, January.
    10. Can Aksakal & Altug Sisman, 2018. "On the Compatibility of Electric Equivalent Circuit Models for Enhanced Flooded Lead Acid Batteries Based on Electrochemical Impedance Spectroscopy," Energies, MDPI, vol. 11(1), pages 1-14, January.
    11. Ruifeng Zhang & Bizhong Xia & Baohua Li & Libo Cao & Yongzhi Lai & Weiwei Zheng & Huawen Wang & Wei Wang, 2018. "State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles," Energies, MDPI, vol. 11(7), pages 1-36, July.
    12. Sergio Mayrink & Janaína G. Oliveira & Bruno H. Dias & Leonardo W. Oliveira & Juan S. Ochoa & Gustavo S. Rosseti, 2020. "Regenerative Braking for Energy Recovering in Diesel-Electric Freight Trains: A Technical and Economic Evaluation," Energies, MDPI, vol. 13(4), pages 1-16, February.
    13. Lijun Zhang & Zhongqiang Mu & Xiangyu Gao, 2018. "Coupling Analysis and Performance Study of Commercial 18650 Lithium-Ion Batteries under Conditions of Temperature and Vibration," Energies, MDPI, vol. 11(10), pages 1-27, October.
    14. Abraham Alem Kebede & Md Sazzad Hosen & Theodoros Kalogiannis & Henok Ayele Behabtu & Towfik Jemal & Joeri Van Mierlo & Thierry Coosemans & Maitane Berecibar, 2022. "Model Development for State-of-Power Estimation of Large-Capacity Nickel-Manganese-Cobalt Oxide-Based Lithium-Ion Cell Validated Using a Real-Life Profile," Energies, MDPI, vol. 15(18), pages 1-15, September.
    15. Nursaid Polater & Pietro Tricoli, 2022. "Technical Review of Traction Drive Systems for Light Railways," Energies, MDPI, vol. 15(9), pages 1-26, April.
    16. Norihiro Shimoi & Kazuyuki Tohji, 2022. "Simple Diagnosis of Lifetime Characteristics of Used Automotive Storage Battery Cells," Energies, MDPI, vol. 15(23), pages 1-9, November.
    17. Cheng Siong Chin & Zuchang Gao & Joel Hay King Chiew & Caizhi Zhang, 2018. "Nonlinear Temperature-Dependent State Model of Cylindrical LiFePO 4 Battery for Open-Circuit Voltage, Terminal Voltage and State-of-Charge Estimation with Extended Kalman Filter," Energies, MDPI, vol. 11(9), pages 1-28, September.
    18. Corey T. Love & Matthieu Dubarry & Tatyana Reshetenko & Arnaud Devie & Neil Spinner & Karen E. Swider-Lyons & Richard Rocheleau, 2018. "Lithium-Ion Cell Fault Detection by Single-Point Impedance Diagnostic and Degradation Mechanism Validation for Series-Wired Batteries Cycled at 0 °C," Energies, MDPI, vol. 11(4), pages 1-19, April.
    19. Ruifeng Zhang & Bizhong Xia & Baohua Li & Libo Cao & Yongzhi Lai & Weiwei Zheng & Huawen Wang & Wei Wang & Mingwang Wang, 2018. "A Study on the Open Circuit Voltage and State of Charge Characterization of High Capacity Lithium-Ion Battery Under Different Temperature," Energies, MDPI, vol. 11(9), pages 1-17, September.
    20. Cheng Siong Chin & Zuchang Gao, 2018. "State-of-Charge Estimation of Battery Pack under Varying Ambient Temperature Using an Adaptive Sequential Extreme Learning Machine," Energies, MDPI, vol. 11(4), pages 1-30, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1237-:d:109143. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.