A Flexible Real-Time Measurement and Control System for Enhanced In-Situ Battery Monitoring



Wu, Chao, Ferrero, Roberto ORCID: 0000-0001-7820-9021 and IEEE,
(2019) A Flexible Real-Time Measurement and Control System for Enhanced In-Situ Battery Monitoring. In: 2019 IEEE 10th International Workshop on Applied Measurements for Power Systems (AMPS), 2019-9-25 - 2019-9-27.

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Abstract

As the applications of batteries in power systems are significantly growing in number and power ratings, the importance of an accurate battery monitoring has become even more critical. Most commercial applications use a Battery Management System (BMS) to monitor the state of the battery and ensure a safe, reliable and efficient operation. A BMS is typically designed to acquire DC (slowly changing) voltages and currents and to control the power transfer from the battery to the load, with a relatively slow dynamics. However, to enhance the state-of-health monitoring, recent works have proposed methods to achieve battery impedance measurements in commercial applications, at frequencies up to the kilohertz range, or higher. The typical BMS design would not be suitable to control the battery operation fast enough to create the required AC perturbations and to measure and process the battery AC voltage and current signals. In this paper, a low-cost architecture is presented, suitable to achieve the fast real-time acquisition and control but also a flexible signal processing and data analysis required to estimate the battery state, in addition to the normal functions of a BMS. The proposed solution is based on the BeagleBone Black board, which combines a general-purpose ARM processor with two real-time micro-controllers, analog-to-digital converters and digital inputs/outputs. The strategy to implement all the required functions is presented, and preliminary results are reported.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: Batteries, Battery management systems, Condition monitoring, Measurement, Control Systems, Real-time systems, Microcontrollers
Depositing User: Symplectic Admin
Date Deposited: 03 Jan 2020 15:49
Last Modified: 15 Mar 2024 01:27
DOI: 10.1109/amps.2019.8897748
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3069004