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Battery Management System Based on AURIX Multi-Core Architecture
Technical Paper
2019-01-1310
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Battery management system (BMS) is the core component of the new energy vehicle battery system. With the increase of energy density of new energy vehicle battery, its control algorithm becomes more and more complex, and the work of the battery management system will be heavier. In order to solve the limits, the hardware, software and control strategy model of battery management system are developed based on AURIX multi-core microcontroller. The microprocessor control unit is developed by using dual-core chip, which meets the functional safety requirements. Dual-core processing of control strategy and individual information acquisition are realized, and the processing efficiency is improved. A four-tier software architecture of battery management system is developed to handle the Dual-core processing. The graphical development of battery management system strategy model is realized by using MATLAB / Simulink. The results of bench test and real vehicle test show that the developed battery management system meets the application requirements of new energy vehicles.
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Huang, D., Zhu, Z., Zhao, J., Wang, X. et al., "Battery Management System Based on AURIX Multi-Core Architecture," SAE Technical Paper 2019-01-1310, 2019, https://doi.org/10.4271/2019-01-1310.Data Sets - Support Documents
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References
- Wei, Q.G., Tie-Xiong, S.U., Ning G.T., “Research on Key Technologies of Battery Management System for a Hev,” Vehicle and Power Technology, 2010.
- Wang, Y., Chen, Z., and Zhang, C., “On-Line Remaining Energy Prediction: A Case Study in Embedded Battery Management System,” Apply Energy 194:688-695, 2017.
- Xie, J, Xie, Z, Guo, Y. et al., “A Review on Tesla Electric Vehicles’ Battery Management System and Fast Charging Technology,” Journal of Dongguan University of Technology, 2016.
- Dinçer, I., Hamut, H.S., and Javani, N., 2. Electric Vehicle Battery Technologies (John Wiley & Sons, Ltd, 2016).
- Technologies, S.B., Hjerpe, J., “Building Performance Optimization Services in the City of Boras, Sweden,” 2002.
- Zhang, Y., Song, W., Lin, S. et al., “A Critical Review on State of Charge of Batteries,” Journal of Renewable & Sustainable Energy 2:R93-R110, 2013.
- Xu, G., Du, X., Li, Z. et al., “Reliability Design of Battery Management System for Power Battery,” Micro Electron Reliable1286-1292, 2018.
- Kong, X., Zheng, Y., Ouyang, M. et al., “Signal Synchronization for Massive Data Storage in Modular Battery Management System with Controller Area Network,” Applied Energy 197:52-62, 2017.
- Zheng, Y., Han, X., Lu, L. et al., “Lithium Ion Battery Pack Power Fade Fault Identification Based On Shannon Entropy in Electric Vehicles,” Journal of Power Sources 1:136-146, 2013.
- Infineon Technologies, “Kit_Aurix_Tc265_Tft,” 2018, https://www.infineon.com/cms/cn/product/evaluation-boards/kit_aurix_tc265_tft/.
- Infineon Technologies, “Tlf35584Qvvs1,” 2018, https://www.infineon.com/cms/en/product/power/dc-dc-converter/dc-dc-converter-automotive/tlf35584qvvs1/.
- Kumar, B., Khare, N., Chaturvedi, P.K., “Advanced Battery Management System Using Matlab/Simulink,” in in Telecommunications Energy Conference, 2016.
- Infineon Technologies, “Bts724G,” 2018, https://www.infineon.com/cms/en/product/power/smart-low-side-high-side-switches/automotive-smart-high-side-switch-profet/bts724g/.
- Digi-Key, “Drv8872Ddarq1 Specifications,” 2018, https://www.digikey.com/product-detail/en/DRV8872DDARQ1/296-45168-1-ND/6575427?WT.z_cid=ref_findchips_standard.
- Wiersma, N., Pareja, R., “Safety != Security: On the Resilience of Asil-D Certified Microcontrollers Against Fault Injection Attacks,” in The Workshop on Fault Diagnosis & Tolerance in Cryptography, 2017, 9-16.
- Zhen, Z., Meng, X., “State of the Art and Research of the Charging Coupler Standards in China and Abroad,” Chinese Journal of Automotive Engineering, 2012.
- Nordyk, S., “Battery Stack Monitor is 0.04% Accurate,” 2016.
- Gai, P., Esposito, F., Schiavi, R. et al., “Towards an Open Source Framework for Small Engine Controls Development,” SAE Int. J. Passeng. Cars - Electron. Electr. Syst. 8(1):22-31, 2014, doi:10.4271/2014-32-0070.
- Denggao Huang, Z.Z.H.T., “Model-in-Loop Automated Test Based on Function Requirements of BMS,” SAE Word Conference, 2018.
- Zhang, S., Quan, S., Xie, C. et al., “Online SOC Estimation of Power Battery Based On Closed-Loop Feedback Model,” 2016.