Low-Complexity Electrochemical-Impedance Spectroscopy for Battery Monitoring

被引：9
作者：
Carbone, Paolo [1 ]
De Angelis, Alessio [1 ]
Schoukens, Johan [2 ,3 ]
Moschitta, Antonio [1 ]
Santoni, Francesco [1 ]
机构：
[1] Univ Perugia, Engn Dept, I-06125 Perugia, Italy
[2] Vrije Univ Brussel, Dept Ind Engn INDI, B-1050 Brussels, Belgium
[3] Eindhoven Univ Technol, Dept Elect Engn, NL-5612 AZ Eindhoven, Netherlands
来源：
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2023年 / 72卷
关键词：
Batteries; Battery charge measurement; Voltage measurement; Current measurement; Computer architecture; Sensors; Impedance; Estimation; identification; nonlinear estimation problems; nonlinear quantizers; quantization; LITHIUM-ION CELLS; CHARGE ESTIMATION; BROAD-BAND; SYSTEM; STATE; IDENTIFICATION; DESIGN; ONLINE; PACKS;
D O I：
10.1109/TIM.2022.3222478
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This article shows how to realize a low-complexity system for electrochemical impedance spectroscopy aimed at monitoring the state of charge and state-of-health of a rechargeable battery. In particular, it is shown how to acquire the current and voltage signals used for estimating the battery impedance by means of simple one-bit analog-to-digital converters, e.g., comparators. Architectural and system-level requirements are considered. A detailed procedure is presented that describes how to process one-bit data to recover the full-resolution signals needed to estimate the battery impedance. Theoretical and experimental results are presented to illustrate and validate the one-bit electrochemical impedance spectroscopy framework. Experimental results using a 3.7 V, 2600 mAh lithium-ion cell rechargeable battery show that its impedance is estimated using one-bit data, with a maximum magnitude error less than 3%, and a phase error of 2.4 degrees.
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页数：9
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