Your Battery Is a Blast! Safeguarding Against Counterfeit Batteries with Authentication 论文阅读与思考 参考文献

References:

  1. Gholam-Abbas Nazri and Gianfranco Pistoia. 2008. Lithium batteries: science and technology. Springer Science & Business Media.
  2. Tsuyoshi Sasaki, Yoshio Ukyo, and Petr Novák. 2013. Memory effect in a lithiumion battery. Nature materials 12, 6 (2013), 569–575.
  3. Bruno Scrosati and Jürgen Garche. 2010. Lithium batteries: Status, prospects and future. Journal of power sources 195, 9 (2010), 2419–2430.
  4. Anthony Barré, Benjamin Deguilhem, Sébastien Grolleau, Mathias Gérard, Frédéric Suard, and Delphine Riu. 2013. A review on lithium-ion battery ageing mechanisms and estimations for automotive applications. Journal of Power Sources 241 (2013), 680–689.
  5. Wladislaw Waag, Christian Fleischer, and Dirk Uwe Sauer. 2014. Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles. Journal of Power Sources 258 (2014), 321–339.
  6. Mario Marinaro, Dominic Bresser, Engelbert Beyer, Peter Faguy, Kei Hosoi, Hong Li, Julija Sakovica, Khalil Amine, Margret Wohlfahrt-Mehrens, and Stefano Passerini. 2020. Bringing forward the development of battery cells for automotive applications: Perspective of R&D activities in China, Japan, the EU and the USA. Journal of Power Sources 459 (2020), 228073.
  7. GrandViewResearch. 2022. Lithium-ion Battery Market Size, Share & Trends Analysis Report By Product (LCO, LFP, NCA, LMO, LTO, NMC), By Application (Consumer Electronics, Energy Storage Systems, Industrial), By Region, And Segment Forecasts, 2022 - 2030.
  8. Lingxi Kong, Diganta Das, and Michael G Pecht. 2022. The Distribution and Detection Issues of Counterfeit Lithium-Ion Batteries. Energies 15, 10 (2022), 3798.
  9. U.S. Customs and Border Protection. 2016. CBP Seizes Record Amount of Counterfeit Hoverboards.
  10. Michael O’Brien and Gregg Tatarka. 2008. Lithium-Ion Batteries: An Emerging Focus of Causation in Consumer Product Fires. White Paper. Wilson Elser Moskowitz& Dicker LLP.
  11. Saurabh Saxena, Lingxi Kong, and Michael G Pecht. 2018. Exploding e-cigarettes: A battery safety issue. IEEE Access 6 (2018), 21442–21466.
  12. Perry Tsao. 2018. How Secure Fuel Gauges Can Prevent Battery Counterfeiting. White Paper. Maxim Integrated.
  13. M Rezal, A Zulaikha, M Sabri, R Yusof, and S Ridzwan. 2014. Orion battery management system (BMS) for lithium-ion battery pack. In Proceedings of the Colloquium of Education, Engineering & Technology (COLEET 2014) at Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Kedah, Malaysia. 80–86.
  14. Ahmad Al Khas and Ihsan Cicek. 2019. SHA-512 based wireless authentication scheme for smart battery management systems. In 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA). IEEE, 968–972
  15. Jingyuan Zhao, Heping Ling, Junbin Wang, Andrew F Burke, and Yubo Lian. 2022. Data-driven prediction of battery failure for electric vehicles. Iscience 25, 4 (2022), 104172.
  16. Peter Kurzweil, Wolfgang Scheuerpffug, Bernhard Frenzel, Christian Schell, and Josef Schottenbauer. 2022. Differential Capacity as a Tool for SOC and SOH Estimation of Lithium Ion Batteries Using Charge/Discharge Curves, Cyclic Voltammetry, Impedance Spectroscopy, and Heat Events: A Tutorial. Energies 15, 13 (2022), 4520.
  17. Soichiro Torai, Masaru Nakagomi, Satoshi Yoshitake, Shuichiro Yamaguchi, and Noboru Oyama. 2016. State-of-health estimation of LiFePO4/graphite batteries based on a model using differential capacity. Journal of Power Sources 306 (2016), 62–69.
  18. Amelie Krupp, Ernst Ferg, Frank Schuldt, Karen Derendorf, and Carsten Agert. 2020. Incremental capacity analysis as a state of health estimation method for lithium-ion battery modules with series-connected cells. Batteries 7, 1 (2020), 2.
  19. Lisa Calearo, Charalampos Ziras, Andreas Thingvad, and Mattia Marinelli. 2022. Agnostic Battery Management System Capacity Estimation for Electric Vehicles. Energies 15, 24 (2022), 9656.
  20. Byoung-Yong Chang and Su-Moon Park. 2010. Electrochemical impedance spectroscopy.Annual Review of Analytical Chemistry 3, 1 (2010), 207.
  21. Andrzej Lasia. 2002. Electrochemical impedance spectroscopy and its applications. In Modern aspects of electrochemistry. Springer, 143–248.
  22. Lorenzo A Buscaglia, Osvaldo N Oliveira, and João Paulo Carmo. 2021. Roadmap for electrical impedance spectroscopy for sensing: a tutorial. IEEE Sensors Journal 21, 20 (2021), 22246–22257.
  23. Li Ran, Wu Junfeng, Wang Haiying, and Li Gechen. 2010. Prediction of state of charge of lithium-ion rechargeable battery with electrochemical impedance spectroscopy theory. In 2010 5th IEEE Conference on Industrial Electronics and Applications. IEEE, 684–688.
  24. U Westerhoff, T Kroker, K Kurbach, and M Kurrat. 2016. Electrochemical impedance spectroscopy based estimation of the state of charge of lithium-ion batteries. Journal of Energy Storage 8 (2016), 244–256.
  25. Bo Jiang, Jiangong Zhu, Xueyuan Wang, Xuezhe Wei, Wenlong Shang, and Haifeng Dai. 2022. A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithiumion batteries. Applied Energy 322 (2022), 119502.
  26. Dezhi Li, Dongfang Yang, Liwei Li, Licheng Wang, and Kai Wang. 2022. Electrochemical impedance spectroscopy based on the state of health estimation for lithium-ion batteries. Energies 15, 18 (2022), 6665.
  27. Quan-Chao Zhuang, Xiang-Yun Qiu, Shou-Dong Xu, Ying-Huai Qiang, and SG Su. 2012. Diagnosis of electrochemical impedance spectroscopy in lithium-ion batteries. Lithium Ion Batteries—New Developments 8 (2012), 189–227.
  28. Nils Lohmann, Peter Haussmann, Patrick Wesskamp, Joachim Melbert, and Thomas Musch. 2015. Employing real automotive driving data for electrochemical impedance spectroscopy on lithium-ion cells. SAE International Journal of Alternative Powertrains 4, 2 (2015), 308–317.
  29. David A Howey, Paul D Mitcheson, Vladimir Yufft, Gregory J Offer, and Nigel P Brandon. 2013. Online measurement of battery impedance using motor controller excitation. IEEE transactions on vehicular technology 63, 6 (2013), 2557–2566.
  30. Nils Lohmann, Peter Haussmann, Patrick Wesskamp, Joachim Melbert, and Thomas Musch. 2015. Employing real automotive driving data for electrochemical impedance spectroscopy on lithium-ion cells. SAE International Journal of Alternative Powertrains 4, 2 (2015), 308–317.
  31. Uwe Tröltzsch, Olfa Kanoun, and Hans-Rolf Tränkler. 2006. Characterizing aging effects of lithium ion batteries by impedance spectroscopy. Electrochimica acta 51, 8-9 (2006), 1664–1672.
  32. Gonçalo Dos Reis, Calum Strange, Mohit Yadav, and Shawn Li. 2021. Lithium-ion battery data and where to ffnd it. Energy and AI 5 (2021), 100081.
  33. Erik Goldammer, Marius Gentejohann, Michael Schlüter, Daniel Weber, Wolfgang Wondrak, Sibylle Dieckerhoff, Clemens Gühmann, and Julia Kowal. 2022. The Impact of an Overlaid Ripple Current on Battery Aging: The Development of the SiCWell Dataset. Batteries 8, 2 (2022), 11.
  34. Heather M Barkholtz, Armando Fresquez, Babu R Chalamala, and Summer R Ferreira. 2017. A database for comparative electrochemical performance of commercial 18650-format lithium-ion cells. Journal of The Electrochemical Society 164, 12 (2017), A2697.
  35. Yunwei Zhang, Qiaochu Tang, Yao Zhang, Jiabin Wang, Ulrich Stimming, and Alpha A Lee. 2020. Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning. Nature communications 11, 1 (2020), 1–6.
  36. Maximilian Christ, Nils Braun, Julius Neuffer, and Andreas W Kempa-Liehr. 2018. Time series feature extraction on basis of scalable hypothesis tests (tsfresh–a python package). Neurocomputing 307 (2018), 72–77.
  37. Guillaume Lemaître, Fernando Nogueira, and Christos K Aridas. 2017.Imbalanced-learn: A python toolbox to tackle the curse of imbalanced datasets in machine learning. The Journal of Machine Learning Research 18, 1 (2017),559–563.
  38. Tommi Gröndahl, Luca Pajola, Mika Juuti, Mauro Conti, and N Asokan. 2018. All you need is" love" evading hate speech detection. In Proceedings of the 11th ACM workshop on artiffcial intelligence and security. 2–12.
  39. Punam Bedi, Neha Gupta, and Vinita Jindal. 2021. I-SiamIDS: an improved SiamIDS for handling class imbalance in network-based intrusion detection systems. Applied Intelligence 51 (2021), 1133–1151.

评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值