Lithium-ion batteries have become the dominant choice for electric vehicles and portable devices due to their high energy density, durability, and wide operating temperature range. This widespread adoption has stimulated the development of battery management systems to ensure safe operation. To improve battery impedance measurement, we proposed a systematically composed binary sequence for fast and accurate broadband impedance extraction. Using SNR analysis and zero-order hold compensation, combined with a novel chaotic optimization algorithm, our method minimizes amplitude and improves frequency response accuracy. This work is proposed in a paper titled “Systematically composed binary sequence design approach for broadband lithium-ion battery impedance measurement,” IEEE Transactions on Industrial Electronics, vol. 71, n°12, pp. 15914–15923, December 2024. It is co-authored by Xinghao Du, Jinhao Meng, Mohamed Benbouzid, Yassine AMIRAT, and Fei Gao. This work was done as part of Xinghao Du's PhD project at the Université de Bretagne Occidentale and IRDL - UMR CNRS 6027/UBS/ENSTA-Bretagne/ENIB/UBO, in collaboration with ISEN Yncréa Ouest, the Université de Technologie de Belfort-Montbéliard, and the Xi'an Jiaotong University.
Link to the paper: https://lnkd.in/eV_Dab_x
