This test was performed to see the difference changing the VE tables to a bogus value affected Closed Loop MAF operation.
Both sets of results were based on 20-30 minutes of driving after warming up
The results filtered cells 16,17,18 and 0%tps to only show BLM learning
I expected a whole lot more of a difference. Right now I'm just surprised.
VE tables usual driving (control group)
MAP vs RPM (right and left BLM data)
RPM2
map2 Data 1000 1200 1400 1600 1800 2000 2200 2400 2600 2800 3000 3200 3400 3600 3800 4000
20 Average of lblm           123   125 125 127 127         127
  Average of rblm           124   123 123 127 128         128
25 Average of lblm       122   123 124 124 126 127 127 125        
  Average of rblm       121   122 123 122 124 128 127 123        
30 Average of lblm       122 122 123 124 123 125 126 127 126        
  Average of rblm       121 122 123 124 123 123 125 127 126        
35 Average of lblm         125 123 123 125 126 126 127 127       127
  Average of rblm         123 123 123 124 124 125 127 125       128
40 Average of lblm     132 132 125 126 126 126 128 128 128 129 127     129
  Average of rblm     133 131 122 125 125 124 126 128 128 127 126     129
45 Average of lblm 136 130 130 130 129 131 131 129 129 129 129 129 129 129 129 129
  Average of rblm 136 129 129 129 127 129 129 128 127 130 130 129 129 127 127 128
50 Average of lblm 134 130 131 129 129 130 130 129 129 129 129 129 129 129 129 129
  Average of rblm 134 129 129 128 128 129 128 128 127 128 129 128 129 129 128 130
55 Average of lblm 130 130 130 130 130 130 130 129 128 128 129 129 129 129 129 129
  Average of rblm 129 129 129 129 129 128 128 129 127 127 129 131 131 131 130 131
60 Average of lblm 128 130 130 130 130 130 129 129 129 129 129 128 129 129 129 129
  Average of rblm 129 129 129 129 130 128 127 130 128 130 129 128 131 131 131 130
65 Average of lblm   129 131 130 130 128 129 129 129 128         128 128
  Average of rblm   129 130 130 130 128 129 130 130 129         129 129
70 Average of lblm     130 131                       128
  Average of rblm     130 130                       129
75 Average of lblm   130 130                          
  Average of rblm   130 130                          
VE tables set to value of 1 (test group)
MAP vs RPM right and left BLM data
RPM2
map2 Data 1000 1200 1400 1600 1800 2000 2200 2400 2600 2800 3000 3200 3400 3600 3800 4200
20 Average of lblm             131 128 128 128            
  Average of rblm             128 125 124 124            
25 Average of lblm         128 130 130 128 127 128            
  Average of rblm         126 127 128 125 124 126            
30 Average of lblm     132 130 130 130 130 129 127 127 128       128  
  Average of rblm     131 129 127 127 127 126 125 124 128       126  
35 Average of lblm     131 130 130 130 131 130 128 128 128       128  
  Average of rblm     129 131 127 127 127 126 125 124 128       127  
40 Average of lblm   129 130 130 129 130 131 130 129 128 128       128  
  Average of rblm   128 129 130 127 127 127 127 127 124 125       128  
45 Average of lblm 130 129 129 129 128 128 129 128 128   129     129 129  
  Average of rblm 129 129 129 129 127 126 127 127 128   128     128 129  
50 Average of lblm   130 129 128 127 129 128 128 129 129 129 129 129 129 129  
  Average of rblm   129 128 128 127 127 127 127 129 129 128 129 128 128 129  
55 Average of lblm   129 130 129 128 129 129 129 129 129 129 129 129   130  
  Average of rblm   129 129 129 127 128 128 128 129 129 129 129 129   131  
60 Average of lblm 128   128   127 129 129 129 131 129 129 129 129 129 129 131
  Average of rblm 128   129   126 128 128 128 131 129 129 128 129 129 129 132
65 Average of lblm     130 128 129 128 129 132 133 128 128 132 133   132 133
  Average of rblm     128 128 127 128 128 132 134 128 128 132 135   134 135
70 Average of lblm   131 130 130 132   129     128 129 130 132 132 132 131
  Average of rblm   129 129 128 130   128     128 129 130 132 133 134 131
Delta Results
ABS((a-b)/a)               2.34% 1.96% 0.65%            
              1.81% 1.01% 2.14%            
          5.11% 5.18% 2.99% 0.85% 0.68%            
          3.80% 4.11% 2.65% 0.26% 1.97%            
      6.15% 5.92% 5.15% 5.18% 4.44% 1.82% 1.33% 0.94%          
      6.26% 4.68% 3.13% 2.25% 2.85% 1.26% 0.64% 0.94%          
        3.49% 5.33% 5.54% 3.66% 1.08% 1.57% 0.89%          
        3.67% 3.34% 3.50% 1.99% 0.39% 0.45% 0.83%          
    1.65% 0.90% 3.37% 3.37% 3.26% 2.90% 0.64% 0.04% 0.20%          
    2.99% 0.84% 4.19% 2.06% 1.33% 2.00% 1.35% 2.77% 2.35%          
4.62% 0.63% 0.48% 0.61% 0.83% 2.65% 1.72% 1.02% 0.42%   0.07%     0.00% 0.00%  
5.43% 0.14% 0.24% 0.22% 0.27% 2.27% 1.18% 0.96% 0.95%   1.75%     0.78% 1.55%  
  0.54% 1.56% 0.59% 1.21% 1.50% 1.69% 0.96% 0.08% 0.00% 0.18% 0.13% 0.00% 0.00% 0.00%  
  0.33% 0.63% 0.05% 0.66% 1.29% 1.27% 0.74% 1.19% 0.90% 0.61% 0.17% 0.52% 0.45% 0.47%  
  0.89% 0.06% 0.96% 1.64% 0.57% 0.74% 0.11% 0.41% 0.06% 0.02% 0.07% 0.00%   0.77%  
  0.00% 0.06% 0.09% 1.39% 0.13% 0.16% 1.28% 1.31% 1.23% 0.17% 1.59% 1.59%   0.62%  
0.00%   1.49%   2.08% 0.59% 0.30% 0.21% 1.49% 0.29% 0.39% 1.03% 0.00% 0.00% 0.00% 1.74%
0.78%   0.21%   3.06% 0.09% 0.42% 1.25% 2.62% 0.58% 0.16% 0.52% 1.55% 1.55% 1.55% 1.19%
    0.38% 1.65% 0.78% 0.02% 0.23% 1.86% 2.67% 0.31%         3.03% 3.76%
    1.43% 1.22% 1.70% 0.14% 0.48% 1.86% 3.59% 0.47%         4.01% 4.44%
    0.26% 0.51%                       2.29%
    0.70% 1.30%                       1.53%