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Author:

Mang Yanqin (Mang Yanqin.) | Liu Xudong (Liu Xudong.) | Zhou Dasen (Zhou Dasen.) | Duan Jianmin (Duan Jianmin.) (Scholars:段建民)

Indexed by:

CPCI-S

Abstract:

In order to estimate the state of charge (SOC) of battery pack in hybrid electric vehicle accurately, and eliminate the accumulated error of Ampere-hour method, a SOC estimation algorithm using Kalman filter technique is developed First the equivalent circuit model of the battery pack is founded, and then the dynamic state and measurement equations are established. By processing the current and voltage data of the battery pack collected from the real vehicle test, the algorithm using Kalman filter technique can estimate the open circuit voltage of the battery pack effectively, and then SOC of the battery pack can be calculated. It indicates that the algorithm proposed has much potential in the SOC estimation in HEVs through experiments.

Keyword:

state of charge Kalman filter hybrid electric vehicles battery management system

Author Community:

  • [ 1 ] Beijing Univ Technol, Coll Environm & Energy, Beijing 100022, Peoples R China

Reprint Author's Address:

  • [Mang Yanqin]Beijing Univ Technol, Coll Environm & Energy, Beijing 100022, Peoples R China

Email:

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Source :

2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS

Year: 2007

Page: 4316-4319

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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