Insulation Resistance Monitoring Algorithm for Battery Pack in Electric Vehicle Based on Extended Kalman Filtering

To improve the accuracy of insulation monitoring between the battery pack and chassis of electric vehicles, we established a serial battery pack model composed of first-order resistor-capacitor (RC) circuit battery cells. We then designed a low-voltage, low-frequency insulation monitoring model based on this serial battery pack model. An extended Kalman filter (EKF) was designed for this non-linear system to filter the measured results, thus mitigating the influence of noise. Experimental and simulation results show that the proposed monitoring model and extended Kalman filtering algorithm for insulation resistance monitoring present satisfactory estimation accuracy and robustness.

[1]  Leon R. Roose,et al.  Extended Kalman Filter with a Fuzzy Method for Accurate Battery Pack State of Charge Estimation , 2015 .

[2]  Hamzah Ahmad,et al.  Electrical Circuit Model of a Vanadium Redox Flow Battery Using Extended Kalman Filter , 2013 .

[3]  Longyun Kang,et al.  Joint Estimation of the Electric Vehicle Power Battery State of Charge Based on the Least Squares Method and the Kalman Filter Algorithm , 2016 .

[4]  Changhao Piao,et al.  Study on Isolation Monitoring of High-Voltage Battery System , 2010 .

[5]  M. Ceraolo,et al.  High fidelity electrical model with thermal dependence for characterization and simulation of high power lithium battery cells , 2012, 2012 IEEE International Electric Vehicle Conference.

[6]  Joeri Van Mierlo,et al.  Lithium Ion Batteries—Development of Advanced Electrical Equivalent Circuit Models for Nickel Manganese Cobalt Lithium-Ion , 2016 .

[7]  Hua Ji,et al.  Study of Insulation Monitoring Device for DC System Based on Four-Switch Combination , 2009, 2009 International Conference on Computational Intelligence and Software Engineering.

[8]  Wu Zhen-jun,et al.  A novel insulation resistance monitoring device for Hybrid Electric Vehicle , 2008, 2008 IEEE Vehicle Power and Propulsion Conference.

[9]  Maksym Spiryagin,et al.  An overview: modern techniques for railway vehicle on-board health monitoring systems , 2017 .

[10]  Bor Yann Liaw,et al.  A novel on-board state-of-charge estimation method for aged Li-ion batteries based on model adaptive extended Kalman filter , 2014 .

[11]  Sun Zechang,et al.  A method of insulation failure detection on electric vehicle based on FPGA , 2008, 2008 IEEE Vehicle Power and Propulsion Conference.

[12]  John McPhee,et al.  A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation , 2014 .

[13]  Rachid Yazami,et al.  A study of lithium ion batteries cycle aging by thermodynamics techniques , 2014 .

[14]  Nils Hoffmann,et al.  Minimal Invasive Equivalent Grid Impedance Estimation in Inductive–Resistive Power Networks Using Extended Kalman Filter , 2014, IEEE Transactions on Power Electronics.

[15]  Belkacem Ould Bouamama,et al.  Extended Kalman Filter for prognostic of Proton Exchange Membrane Fuel Cell , 2016 .

[16]  Zheng Chen,et al.  A Novel State of Charge Estimation Algorithm for Lithium-Ion Battery Packs of Electric Vehicles , 2016 .

[17]  Delphine Riu,et al.  A review on lithium-ion battery ageing mechanisms and estimations for automotive applications , 2013 .

[18]  D. Stone,et al.  A systematic review of lumped-parameter equivalent circuit models for real-time estimation of lithium-ion battery states , 2016 .

[19]  Chenbin Zhang,et al.  An adaptive remaining energy prediction approach for lithium-ion batteries in electric vehicles , 2016 .

[20]  Edouard Laroche,et al.  Methodological Insights for Online Estimation of Induction Motor Parameters , 2008, IEEE Transactions on Control Systems Technology.

[21]  Jiahao Li,et al.  A comparative study and validation of state estimation algorithms for Li-ion batteries in battery management systems , 2015 .

[22]  C. Mi,et al.  A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive extended Kalman filter , 2013 .

[23]  Limei Wang,et al.  A LiFePO4 battery pack capacity estimation approach considering in-parallel cell safety in electric vehicles , 2015 .

[24]  Chunting Chris Mi,et al.  Study of the Characteristics of Battery Packs in Electric Vehicles With Parallel-Connected Lithium-Ion Battery Cells , 2015 .

[25]  Yunyan Wang,et al.  Research on insulation resistance on-line monitoring for electric vehicle , 2005, 2005 International Conference on Electrical Machines and Systems.

[26]  Dirk Uwe Sauer,et al.  Adaptive approach for on-board impedance parameters and voltage estimation of lithium-ion batteries in electric vehicles , 2015 .