Lithium-ion Battery SOH Estimation and Fault Diagnosis with Missing Data

State-of-health (SOH) is an important index indicating the batterys energy storage performance and health condition. However, the volume of SOH is highly dependent on the batterys initial capacity rather than the current capacity. Consequently, it is intractable to infer the SOH of batteries with missing data. In this paper, we propose a dynamic Peukerts law-based battery SOH estimation method. The dynamic Peukerts law correlates capacity loss with Peukerts coefficient, and eliminates the degradation inconsistency and is applicable for the same type of battery. Since the Peukerts coefficient can be calculated by multi-discharging test, the SOH is able to be estimated directly, and therefore, the limitation of data missing is overcome.

[1]  Christopher Depcik,et al.  Expanding the Peukert equation for battery capacity modeling through inclusion of a temperature dependency , 2013 .

[2]  IL-Song Kim,et al.  A Technique for Estimating the State of Health of Lithium Batteries Through a Dual-Sliding-Mode Observer , 2010, IEEE Transactions on Power Electronics.

[3]  Wei Liang,et al.  Remaining useful life prediction of lithium-ion battery with unscented particle filter technique , 2013, Microelectron. Reliab..

[4]  Dong Wang,et al.  Prognostics of Li(NiMnCo)O2-based lithium-ion batteries using a novel battery degradation model , 2017, Microelectron. Reliab..

[5]  Mark W. Verbrugge,et al.  Battery Cycle Life Prediction with Coupled Chemical Degradation and Fatigue Mechanics , 2012 .

[6]  Simona Onori,et al.  Capacity and power fade cycle-life model for plug-in hybrid electric vehicle lithium-ion battery cells containing blended spinel and layered-oxide positive electrodes , 2015 .

[7]  Naehyuck Chang,et al.  State of health aware charge management in hybrid electrical energy storage systems , 2012, 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[8]  Jianqiu Li,et al.  A review on the key issues for lithium-ion battery management in electric vehicles , 2013 .

[9]  Joeri Van Mierlo,et al.  Peukert Revisited—Critical Appraisal and Need for Modification for Lithium-Ion Batteries , 2013 .

[10]  Michael Buchholz,et al.  State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation , 2011 .

[11]  Dervis Emre Demirocak,et al.  Degradation mechanisms in Li‐ion batteries: a state‐of‐the‐art review , 2017 .

[12]  Matthew B. Pinson,et al.  Theory of SEI Formation in Rechargeable Batteries: Capacity Fade, Accelerated Aging and Lifetime Prediction , 2012, 1210.3672.

[13]  P. Bruce,et al.  Degradation diagnostics for lithium ion cells , 2017 .