Battery cabinet parallelism detection

Is there a fault diagnosis algorithm for parallel-connected battery cells?

CONCLUSION This paper proposes a fault diagnosis algorithm for parallel-connected battery cells, which includes one faulty cell with a significant degradation when compared to the other cells. The studied problem is challenging, since generally only one voltage sensor and one current sensor are used in one battery string.

Can the resistance of parallel-connected battery cells be used for fault diagnosis?

Zhang et al. first pointed out that the resistance of parallel-connected battery cells can be used as the health indicator for fault diagnosis. However, cell-to-cell variations were not considered hence the resistance thresholds, which are important to fault diagnosis, cannot be accurately quantified.

Do parallel-connected battery cells have only one voltage and a current sensor?

To avoid severe safety issues (e.g., thermal runaway), initial faults should be timely detected and resolved. In this paper, we consider parallel-connected battery cells with only one voltage and one current sensor. The lack of independent current sensors makes it difficult to detect individual cell degradation.

Why is individual cell fault detection important in lithium-ion batteries?

Individual Cell Fault Detection for Parallel-Connected Battery Cells Based on the Statistical Model and Analysis Abstract— Fault diagnosis is extremely important to the safe operation of Lithium-ion batteries. To avoid severe safety issues (e.g., thermal runaway), initial faults should be timely detected and resolved.