Commercial Vehicle Ride Comfort Optimization Based on Intelligent Algorithms and Nonlinear Damping

Table 4

Evaluation indexes of objective function before and after optimization.

Speed (km/h)		30	40	50	60	70	80	90	100
f1	Original	0.4107	0.5190	0.4430	0.6077	0.6988	0.6914	0.8738	0.7832
	Optimized	0.3067	0.3531	0.3527	0.4318	0.4742	0.5284	0.5786	0.6012
	Fall ratio (%)	25.3	32.0	20.4	28.9	32.1	23.6	33.8	23.3
	Average (%)	27.4
f2	Original	0.2442	0.2903	0.3118	0.3740	0.4085	0.4042	0.4731	0.4755
	Optimized	0.1922	0.2263	0.2557	0.2908	0.3122	0.3275	0.3584	0.3701
	Fall ratio (%)	21.3	22.0	18.0	22.2	23.6	19.0	24.2	22.2
	Average (%)	21.6
f3	Original	0.1413	0.1672	0.2050	0.2405	0.2577	0.2674	0.3045	0.3021
	Optimized	0.1075	0.1314	0.1567	0.1756	0.1875	0.2014	0.2196	0.2282
	Fall ratio (%)	23.9	21.4	23.6	27.0	27.2	24.7	27.9	24.5
	Average (%)	25.0
f4	Original	0.0142	0.0166	0.0171	0.0215	0.0233	0.0218	0.0271	0.0261
	Optimized	0.0113	0.0132	0.0148	0.0172	0.0183	0.0186	0.0207	0.0209
	Fall ratio (%)	20.4	20.5	13.5	20.0	21.5	14.7	23.6	19.9
	Average (%)	19.3
f5	Original	0.0086	0.0101	0.0125	0.0150	0.0159	0.0161	0.0188	0.0183
	Optimized	0.0068	0.0082	0.0099	0.0114	0.0119	0.0127	0.0139	0.0144
	Fall ratio (%)	20.9	18.8	20.8	24.0	25.2	21.1	26.1	21.3
	Average (%)	22.3