Kakakee,
I have sent you a PM with the same information. I have copied it here for the benefit of the forum.
Yes the Zanflare.
I had 3 of them and gave them and 3 LiitoKalas away as they were just a tad bit too inaccurate for my taste.
Please do not take that as an insult as it is not intended that way. They both read a bit high in their mAh results and they do not discharge at 1A. Also of course their IR readings are not accurate.
You see when these testers check the IR of a battery they rely on a DC voltage drop method and do a quick calculation by comparing the v drop to a known resistance and applying Ohms law. Contact resistance, state of battery charge, temperature all play a role in the outcome. The other problem is since the resistance is so low ( milliΩ ) it really requires the kelvin method of checking. That means 4 wire. So the only way you can get consistent and accurate results is with a YR1030/1035+ or RC3563 or equivalent AC 1kHz IR/Impedance tester.
That being said I threw together a chart of the limited cells I actually tested with my Zanflairs.
I recorded what my YR1030 "My first IR meter" and the Zanflare showed for IR. Average reading is elevated by 107.73%
Best I can do.
My recommendation is of course get a proper IR reader 'which you are doing' especially if you are building a powerwall or any battery for that matter of fact. It is the single most important reading you will take to assure that the condition of the battery is acceptable and safe.
I have 60 cells that I recorded with the Zanflare. Yea not an earth shattering volume out of 6000+ cells as I removed the Zanflare from my testing very early.
I removed the "Noise" from the results and came up with this average from 36 cells. But as you can see the readings from the Zanflare are all over the place.
Wolf
Num | YR1030 IR | Zanflare IR | Per Diff |
1 | 25.2 | 44 | 74.60% |
2 | 60.3 | 124 | 105.64% |
3 | 53.9 | 108 | 100.37% |
4 | 60.3 | 102 | 69.15% |
5 | 65.3 | 104 | 59.26% |
6 | 57.2 | 96 | 67.83% |
7 | 59.6 | 90 | 51.01% |
8 | 38.7 | 70 | 80.88% |
9 | 59.8 | 108 | 80.60% |
10 | 44.7 | 64 | 43.18% |
11 | 57.4 | 88 | 53.31% |
12 | 76.7 | 188 | 145.11% |
13 | 62.6 | 154 | 146.01% |
14 | 60.3 | 150 | 148.76% |
15 | 59.9 | 140 | 133.72% |
16 | 60.7 | 160 | 163.59% |
17 | 50 | 128 | 156.00% |
18 | 59 | 108 | 83.05% |
19 | 61.1 | 94 | 53.85% |
20 | 69.1 | 144 | 108.39% |
21 | 49.8 | 194 | 289.56% |
22 | 59.6 | 160 | 168.46% |
23 | 59.9 | 138 | 130.38% |
24 | 63.5 | 146 | 129.92% |
25 | 76.9 | 138 | 79.45% |
26 | 76.3 | 122 | 59.90% |
27 | 68.7 | 112 | 63.03% |
28 | 76.8 | 124 | 61.46% |
29 | 75.8 | 158 | 108.44% |
30 | 69.3 | 154 | 122.22% |
31 | 70.3 | 118 | 67.85% |
32 | 69.6 | 130 | 86.78% |
33 | 65.3 | 178 | 172.59% |
34 | 65.3 | 160 | 145.02% |
35 | 82.8 | 178 | 114.98% |
36 | 55.1 | 140 | 154.08% |
| | | |
| | Average | 107.73% |