Table 3 Comparison of absolute error statistics for different methods during the discharging process.
From: Fault detection for Li-ion batteries of electric vehicles with segmented regression method
Method | Mean | Std | Min | 25% | 50% | 75% | Max |
|---|---|---|---|---|---|---|---|
Proposed | \(4.925 \times 10^{-3}\) | \(3.653 \times 10^{-3}\) | \(1.00 \times 10^{-3}\) | \(4.00 \times 10^{-3}\) | \(4.00 \times 10^{-3}\) | \(5.00 \times 10^{-3}\) | \(3.00 \times 10^{-2}\) |
Transformer21 | \(8.357 \times 10^{-3}\) | \(2.086 \times 10^{-3}\) | \(0.00 \times 10^{0}\) | \(8.00 \times 10^{-3}\) | \(8.00 \times 10^{-3}\) | \(9.00 \times 10^{-3}\) | \(1.80 \times 10^{-2}\) |
LSTM22 | \(1.5271 \times 10^{-2}\) | \(4.199 \times 10^{-3}\) | \(0.00 \times 10^{0}\) | \(1.40 \times 10^{-2}\) | \(1.50 \times 10^{-2}\) | \(1.60 \times 10^{-2}\) | \(2.90 \times 10^{-2}\) |
BPNN23 | \(5.3377 \times 10^{-2}\) | \(7.731 \times 10^{-3}\) | \(1.10 \times 10^{-2}\) | \(5.20 \times 10^{-2}\) | \(5.40 \times 10^{-2}\) | \(5.60 \times 10^{-2}\) | \(7.80 \times 10^{-2}\) |
