Abstract

In this article, a method for estimating the state of charge of lithium battery based on back-propagation neural network is proposed and implemented for uninterruptible power system. First, back-propagation neural network model is established with voltage, temperature, and charge–discharge current as input parameters, and state of charge of lithium battery as output parameter. Then, the back-propagation neural network is trained by Levenberg–Marquardt algorithm and gradient descent method; and the state of charge of batteries in uninterruptible power system is estimated by the trained back-propagation neural network. Finally, we build a state-of-charge estimation test platform and connect it to host computer by Ethernet. The performance of state-of-charge estimation based on back-propagation neural network is tested by connecting to uninterruptible power system and compared with the ampere-hour counting method and the actual test data. The results show that the state-of-charge estimation based on back-propagation neural network can achieve high accuracy in estimating state of charge of uninterruptible power system and can reduce the error accumulation caused in long-term operation.

Highlights

  • With the development of Industrial Internet of Things (IIoT), numerous industrial devices with the ability of wireless transmission are deployed to monitor the person, environment, and equipment, which facilitates centralized and unified management of multiple equipments in industry.[1,2,3] Uninterruptible power system (UPS) serves as backup power supply that provides constant voltage and constant frequency for load through energy storage device and transformer

  • It has been widely used in industrial production, schools, hospitals, banks, and other places to provide uninterrupted power supply for electrical equipment to improve the stability of equipment and avoid data loss.[4,5,6]

  • We study the battery state of charge (SOC) estimation method based on BP neural network and implement it in UPS to improve the accuracy of UPS battery SOC estimation

Read more

Summary

Introduction

With the development of Industrial Internet of Things (IIoT), numerous industrial devices with the ability of wireless transmission are deployed to monitor the person, environment, and equipment, which facilitates centralized and unified management of multiple equipments in industry.[1,2,3] Uninterruptible power system (UPS) serves as backup power supply that provides constant voltage and constant frequency for load through energy storage device and transformer.

Related work
Experiments and implementation
Design of UPS
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call