A new approach for management of battery storage systems for mobile and stationary applications

An accurate assessment of the temperature distribution on the surface of the battery can be instrumental in prediction of the health and remaining lifetime in the battery/battery storage unit. Close monitoring of operational conditions and health can lead to significant saving in the overall cost and reliability of the targeted application. In this paper a new method for estimation of an effective temperature for online computation of the state-of-charge (SOC) in Li-ion batteries have been introduced. This method is based on the surface temperature distribution of the battery.

[1]  Y. Inui,et al.  Simulation of temperature distribution in cylindrical and prismatic lithium ion secondary batteries , 2007 .

[2]  Michael Pecht,et al.  Battery Management Systems in Electric and Hybrid Vehicles , 2011 .

[3]  Dinh Vinh Do,et al.  Thermal modeling of a cylindrical LiFePO4/graphite lithium-ion battery , 2010 .

[4]  J. Newman,et al.  Thermal Modeling of Porous Insertion Electrodes , 2003 .

[5]  Alireza Khaligh,et al.  Battery, Ultracapacitor, Fuel Cell, and Hybrid Energy Storage Systems for Electric, Hybrid Electric, Fuel Cell, and Plug-In Hybrid Electric Vehicles: State of the Art , 2010, IEEE Transactions on Vehicular Technology.

[6]  A. Eddahech,et al.  Lithium-ion battery heat generation investigation based on calorimetric entropy measurements , 2013, 2013 IEEE International Symposium on Industrial Electronics.

[7]  Babak Fahimi,et al.  Online State of Charge estimation in electrochemical batteries: Application of pattern recognition techniques , 2013, 2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

[8]  Jimi Tjong,et al.  Adaptive temperature monitoring for battery thermal management , 2013, 2013 IEEE Transportation Electrification Conference and Expo (ITEC).

[9]  Afshin Izadian,et al.  Adaptive Nonlinear Model-Based Fault Diagnosis of Li-Ion Batteries , 2015, IEEE Transactions on Industrial Electronics.

[10]  Christian Veje,et al.  Analysis of the thermal behavior of a LiFePO4 battery cell , 2012 .

[11]  Federico Baronti,et al.  Online Adaptive Parameter Identification and State-of-Charge Coestimation for Lithium-Polymer Battery Cells , 2014, IEEE Transactions on Industrial Electronics.

[12]  F. Baronti,et al.  Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles , 2013, IEEE Industrial Electronics Magazine.

[13]  Davide Andrea,et al.  Battery Management Systems for Large Lithium Ion Battery Packs , 2010 .