Virtual Environment Modeling for Battery Management System

The offline verification of state of charge estimation, power estimation, fault diagnosis and emergency control of battery management system (BMS) is one of the key technologies in the field of electric vehicle battery system. It is difficult to test and verify the battery management system software in the early stage, especially for algorithms such as system state estimation, emergency control and so on. This article carried out the virtual environment modeling for verification of battery management system. According to the input/output parameters of battery management system, virtual environment is determined to run the battery management system. With the integration of the developed BMS model and the external model, the virtual environment model has been established for battery management system in the vehicle's working environment. Through the virtual environment model, the effectiveness of software algorithm of BMS was verified, such as battery state parameters estimation, power estimation, fault diagnosis, charge and discharge management, etc.

[1]  Xiaosong Hu,et al.  A comparative study of equivalent circuit models for Li-ion batteries , 2012 .

[2]  Mehrdad Ehsani,et al.  A Comparison Study Between Two Parallel Hybrid Control Concepts , 2000 .

[3]  Hendrik Johannes Bergveld,et al.  Battery management systems : design by modelling , 2001 .

[4]  Thomas L. Paez,et al.  Artificial neural network simulation of battery performance , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[5]  Wang Xiao-yuan Artificial neural network (ANN) model for car-following simulation of microscopic traffic flow , 2004 .

[6]  Changhao Piao,et al.  Online Parameter Estimation of the Ni-MH Batteries Based on Statistical Methods , 2010 .

[7]  Han Xiao-dong Comparison study of 3 types of battery models for electrical vehicle , 2006 .

[8]  Yu Sheng Li,et al.  Research on the Driver's Following Behavior Based on Hybrid Electric Vehicle Model , 2013 .

[9]  Pan Xiao-lei A method of moving vehicles tracking applied in traffic environment , 2013 .

[10]  Tetsuya Abe,et al.  Drive force control of a parallel-series hybrid system , 1999 .

[11]  Chang Guofeng Structural Optimization Design of Nickel-hydrogen Battery Thermal Management System , 2009 .

[12]  E. Karden,et al.  Electrochemical modelling of lead/acid batteries under operating conditions of electric vehicles , 1997 .

[13]  Qi Li,et al.  Research on Energy Management Strategies for Electric Vehicles , 2011, 2011 Asia-Pacific Power and Energy Engineering Conference.

[14]  Feng Xu-yu Situation and Development on Hybrid Electric Vehicle Battery (Ni-MH) Management System , 2008 .

[15]  李幼升,et al.  Ph , 1989 .

[16]  M. A. Roscher,et al.  Reliable State Estimation of Multicell Lithium-Ion Battery Systems , 2011, IEEE Transactions on Energy Conversion.

[17]  Li Zhe Key technologies and fundamental academic issues for traction battery systems , 2012 .

[18]  Karl-Heinz Hauer,et al.  Analysis Tool for Fuel Cell Vehicle Hardware and Software (Controls) with an Application to Fuel Economy Comparisons of Alternative System Designs , 2001 .