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Battery Monitoring System and SOC Enhancement Analysis Using Artificial Intelligence Techniques

Battery Monitoring System and SOC Enhancement Analysis Using Artificial Intelligence Techniques

Mohana Sundaram K., Kavya Santhoshi B., Chandrika V. S.
Copyright: © 2023 |Pages: 26
ISBN13: 9781668466315|ISBN10: 1668466317|ISBN13 Softcover: 9781668466322|EISBN13: 9781668466339
DOI: 10.4018/978-1-6684-6631-5.ch002
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MLA

K., Mohana Sundaram, et al. "Battery Monitoring System and SOC Enhancement Analysis Using Artificial Intelligence Techniques." Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles, edited by S. Angalaeswari, et al., IGI Global, 2023, pp. 30-55. https://doi.org/10.4018/978-1-6684-6631-5.ch002

APA

K., M. S., B., K. S., & S., C. V. (2023). Battery Monitoring System and SOC Enhancement Analysis Using Artificial Intelligence Techniques. In S. Angalaeswari, T. Deepa, & L. Kumar (Eds.), Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles (pp. 30-55). IGI Global. https://doi.org/10.4018/978-1-6684-6631-5.ch002

Chicago

K., Mohana Sundaram, Kavya Santhoshi B., and Chandrika V. S. "Battery Monitoring System and SOC Enhancement Analysis Using Artificial Intelligence Techniques." In Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles, edited by S. Angalaeswari, T. Deepa, and L. Ashok Kumar, 30-55. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-6631-5.ch002

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Abstract

A battery energy storage system (BESS) is generally used for storing the excess power produced from the solar PV panel and supplying the stored electrical energy whenever it is needed. The accurate estimation of the state of charge (SOC) of the battery is considered to be very essential for proper power management and reliable operation of the battery. SOC monitoring system for BESS based on probabilistic neural network (PNN) approach is proposed. The PV panel output voltage is enhanced and made distortion free by single ended primary inductance converter (SEPIC) with the assistance of PNN controller. The output thus obtained from the converter is used for many DC applications. The performance of the proposed battery monitoring model is evaluated by using MATLAB simulation.

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