On-line Measurement of Internal Resistance of Lithium Ion Battery for EV and its Application Research

Internal resistance of the battery can really reflect its own characteristics, which including health status of the battery, inconsistency, state of charge, thermal runaway. On-line measurement of internal resistance can real-time monitor the running state of each battery and accurately, can report fault state of the battery and handle fault in time. This paper implements the practical engineering module of on-line measurement of internal resistance of lithium ion battery for EV (Electric Vehicle) using AC analysis. The detection precision and stability of the module are less than 0.3%. Based on experiments, the paper studies the stability and temperature characteristic of internal resistance of lithium battery. It also studies the relationship between the internal resistance and SOC, charging current with experiments. This paper analyzes the relationship between the internal resistance and default of the battery, such as inconsistency of batteries, excessive charging current, changing of work state, overcharging.

[1]  J. Broadhead,et al.  Fuzzy logic estimation of SOH of 125Ah VRLA batteries , 2004, INTELEC 2004. 26th Annual International Telecommunications Energy Conference.

[2]  S. Rodrigues,et al.  AC impedance and state-of-charge analysis of a sealed lithium-ion rechargeable battery , 1999 .

[3]  Mark W. Verbrugge,et al.  Adaptive, multi-parameter battery state estimator with optimized time-weighting factors , 2007 .

[4]  K. R. Cooper,et al.  Electrical test methods for on-line fuel cell ohmic resistance measurement , 2006 .

[5]  Pritpal Singh,et al.  Equivalent circuit parameters of nickel/metal hydride batteries from sparse impedance measurements , 2004 .

[6]  Hongwen He,et al.  Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles , 2012 .

[7]  P. Singh,et al.  Fuzzy logic-based state-of-health determination of lead acid batteries , 2002, 24th Annual International Telecommunications Energy Conference.

[8]  Pritpal Singh,et al.  Design and implementation of a fuzzy logic-based state-of-charge meter for Li-ion batteries used in portable defibrillators , 2006 .

[9]  Valerie H. Johnson,et al.  Battery performance models in ADVISOR , 2002 .

[10]  Jiang Fan,et al.  Electrochemical impedance spectra of full cells: Relation to capacity and capacity-rate of rechargeable Li cells using LiCoO2, LiMn2O4, and LiNiO2 cathodes , 1998 .

[11]  K. S. Champlin,et al.  A fundamentally new approach to battery performance analysis using DFRA/sup TM//DPIS/sup TM/ technology , 2000, INTELEC. Twenty-Second International Telecommunications Energy Conference (Cat. No.00CH37131).

[12]  H. Ishikawa,et al.  AC-impedance measurements during thermal runaway process in several lithium/polymer batteries , 2003 .

[13]  K. S. Champlin,et al.  Discrete frequency immittance spectroscopy (DFIS/sup TM/)-a new technique for battery instrumentation , 2001, Sixteenth Annual Battery Conference on Applications and Advances. Proceedings of the Conference (Cat. No.01TH8533).