Optimum charging rate for a lithium-ion battery using COMSOL livelink for Matlab model

Electric Vehicles (EVs) are considered to be one of the most promising advancements to decarbonise the road transport. However, the realisation and sustainability of this technology demand the availability of public electrical chargers and fast charging techniques to substantially reduce the long charging time of conventional charging techniques. The work in this research presents an effort to determine the optimum Charge rate (C-rate), for a Li-ion cell, as a function of the State of Charge (SoC), in a 30 minutes charging time and, a Cut off Voltage (CoV) of 4.1 V. Firstly, a two-level modelling method is used to analyse the effect of charging performance of three different C-rates as a function of SoC with a typical CoV of 4.2 V. Secondly, the study is furthered by applying a period of 30 minutes charging time and a CoV of 4.1 V as the two constraints to obtain the boundary condition for the SoC. Thirdly, an integrated modelling approach deploying COMSOL LiveLink for Matlab toolbox is proposed to determine the optimum C-rate as a function of the SoC. The results show a 14 % rise in the SoC, at the determined optimum C-rate than that possible at a typical 1 C-rate.

[1]  W. Gu,et al.  THERMAL-ELECTROCHEMICAL COUPLED MODELING OF A LITHIUM-ION CELL , 1999 .

[2]  Bor Yann Liaw,et al.  Micro‐Macroscopic Coupled Modeling of Batteries and Fuel Cells II. Application to Nickel‐Cadmium and Nickel‐Metal Hydride Cells , 1998 .

[3]  Tom Holvoet,et al.  Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market , 2015, IEEE Transactions on Smart Grid.

[4]  Chaoyang Wang,et al.  Micro‐Macroscopic Coupled Modeling of Batteries and Fuel Cells I. Model Development , 1998 .

[5]  Min Gyu Kim,et al.  Recent Progress in Nanostructured Cathode Materials for Lithium Secondary Batteries , 2010 .

[6]  Zhenguo Yang,et al.  LiMnPO4 nanoplate grown via solid-state reaction in molten hydrocarbon for Li-ion battery cathode. , 2010, Nano letters.

[7]  Grant A. Covic,et al.  A Dynamic EV Charging System for Slow Moving Traffic Applications , 2017, IEEE Transactions on Transportation Electrification.

[8]  Chaoyang Wang,et al.  Thermal‐Electrochemical Modeling of Battery Systems , 2000 .

[9]  Yih-Fang Huang,et al.  Placement of EV Charging Stations—Balancing Benefits Among Multiple Entities , 2017, IEEE Transactions on Smart Grid.

[10]  U. Landau,et al.  Rapid Charging of Lithium-Ion Batteries Using Pulsed Currents A Theoretical Analysis , 2006 .

[11]  Yifu Yang,et al.  Electrochemical performance of Ru-doped LiFePO4/C cathode material for lithium-ion batteries , 2009 .

[12]  Christian-Simon Ernst,et al.  Battery Sizing for Serial Plug-in Hybrid Vehicles: A Model-Based Economic Analysis for Germany , 2011 .

[13]  C. M. Doyle Design and simulation of lithium rechargeable batteries , 2010 .

[14]  Yu-Chung Lin,et al.  Search for an optimal rapid charging pattern for lithium-ion batteries using ant colony system algorithm , 2005, IEEE Transactions on Industrial Electronics.

[15]  J. Tarascon,et al.  Comparison of Modeling Predictions with Experimental Data from Plastic Lithium Ion Cells , 1996 .

[16]  N. Kalaiselvi,et al.  CAM sol–gel synthesized LiMPO4 (M=Co, Ni) cathodes for rechargeable lithium batteries , 2009 .