Paper Title:
A Design Methodology for Lithium-Ion Battery Management System and its Application to an Autonomous Underwater Vehicle
  Abstract

Battery management system (BMS) in autonomous underwater vehicle (AUV) not only can measure the main parameters of battery packs such as current, voltage, and temperature, but also estimate the state of charge (SOC) of battery packs. This paper proposes a broad approach for the design of battery management system. The new design can improve the cycle life and safety capability. With the model well designed, the parameters required are obtained and the SOC estimation is completed. Extended Kalman filter (EKF) was chosen to make the last estimate with the reliable battery model which was used to the non-linear system to estimate SOC and suitable for AUV applications. The experiments results prove that the data measured by battery management system have high precision and reliability. The estimated error of SOC was also small, which was better than other approaches for estimate.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 29: Nanofabrication, Nanometrology and Applications
Edited by
Wu Fan
Pages
7175-7182
DOI
10.4028/www.scientific.net/AMR.383-390.7175
Citation
C. Shen, L. Wan, "A Design Methodology for Lithium-Ion Battery Management System and its Application to an Autonomous Underwater Vehicle", Advanced Materials Research, Vols. 383-390, pp. 7175-7182, 2012
Online since
November 2011
Authors
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Price
$32.00
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