Research Article

Development of Accurate Lithium-Ion Battery Model Based on Adaptive Random Disturbance PSO Algorithm

Table 4

Comparison of performance results.

AlgorithmErrorf1f2f3f4f5f6f7f8f9

Standard
PSO
Minimum Error0.0012385350.0155417410.0003594730.0120693240.0031261600.0022530.0159263.47E-08
Average Error0.073808340.3314878330.0610150480.1391389180.36296921910.8463910.1031880.004895
Maximum Error0.6819549890.8080673340.244275670.4466766492.7716642110.1333332.1304160.416960.010275
LPSOMinimum Error3.93E-143.03E-072.63E-148.81E-087.55E-1401.53E-132.42E-087.77E-16
Average Error7.59E-123.48E-061.15E-112.90E-066.72E-1000.19903.71E-070.0043
Maximum Error4.22E-111.01E-051.05E-109.85E-061.35E-0800.9949591.58E-060.0074
ARDPSOMinimum Error8.89E-331.26E-162.61E-323.08E-171.23E-32008.88E-160
Average Error3.22E-291.98E-151.70E-292.05E-153.90E-2700.00994.09E-150.0023
Maximum Error5.11E-287.08E-151.18E-281.78E-147.31E-2600.9949591.15E-140.0074