JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2018, Vol. 48 ›› Issue (2): 121-127.doi: 10.6040/j.issn.1672-3961.0.2017.606

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A compound algorithm for SOC estimation of lithium batteries for magnetic suspension artificial heart pump based on UKF and AH

DONG Man1,2, LIU Shuqin1,2*   

  1. 1. School of Electrical Engineering, Shandong University, Jinan 250061, Shandong, China;
    2. Shandong Magnetic Bearing Technology Center, Jinan 250061, Shandong, China
  • Received:2017-12-13 Online:2018-04-20 Published:2017-12-13

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Abstract: Based on the nonlinear system, an improved state model was proposed in different cycles and different temperatures; based on unscented Kalman filter and ampere-hour(AH)integral method, a compound algorithm and its concrete implementation steps were proposed for SOC estimation; the convergence speed, estimation accuracy and complexity of the new algorithm were analyzed. The experimental results showed that the complexity of this algorithm was low and the accurate estimation of SOC could be realized quickly, the estimation error was 4.036 2%, and was suitable for real-time on-line computation.

Key words: charge state of lithium batteries, AH integral method, state model, unscented Kalman filter, compound algorithm

CLC Number: 

  • TM912
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