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Me, I would happly spend some more coin on better tyres for my street car Will they work, yes, of course, but why substitute some dry grip/braking distance, and wet weather grip/braking distance on what is really old tech to save some coin on your "precious" street car In the end it might not be you that farks up, it's the thousands of other idiots on the street that you need to worry about For a street car that gets some "fun time", I have found that a quality tyre that can handle dry, wet, cold (Canberra gets pretty cold) and hot conditions, which may costs a little more, is great insurance From my experience with them (driving around Goulburn in the winter) the RE003's are pretty poor in cold and/or wet conditions on the street If RS4's didn't hate gripping in the cold I would be running them always on the street, great in the dry, OK in the wet, but, they do hate the cold, with a passion, I run PS5's year round now, basically, I've found the PS5 to be a great year round street tyre for all conditions, they last well, and are mid range pricing wise TL;DR. Tyre choice is probably like what brand and grade oil you should use, ask 10 people, and get 10 different answers... LOL -
Extend the sensor out of the car, put it in a pot of oil, heat oil up. You'll get to 80-120 then 馃槢 -
Yeah - I tried throwing the formulas from ChatGPT and it tried it's best as it told me that the Formula in HPTuners as requested is a Linear function, but the original data I provided it (resistance to temp) is not linear and thus it kept trying to suggest formulas that would be more accurate in regions I actually want it to be accurate in. But I didn't quite understand it at the time. I have now thrown the data into graphs and can clearly see they're all different shapes. Given it's an oil temp sensor I probably want it to be most accurate between 80 and 120c - So I don't really see much alternative other than driving the hell out of the car and letting it cool down from 120C, noting the voltage on the sensor as it chills out. But at that point if I write it down, well, I'll be able to know this from the voltage. Would look pretty stupid on a datalog or a video showing me going down the straight at 0.265V Oil temp -
Yeah, it looks like it's being ran as a constant current setup is my guess. Get some more data points, reading the degrees C on the gauge, and what the voltage is you're seeing out of it. The sensor itself is not linear, even in smaller ranges of like 20 - 60 it's non linear. But if we can get some good plots, particularly at those 5volt steps, it will be very easy to work out, and then I can give you a logarithmic formula if its you need an actual formula. Also, very likely ChatGPT will lead you astray with some of this stuff, as it totally depends on how the circuit is built.
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So to further complicate things or hopefully explain better: This is a VDO sensor. It clearly does this math inside the gauge itself... because it displays a temperature in C to me instead of a voltage. The signal wire to the gauge is in Volts, not Ohms. I have just teed into this and sent it to the ECU. ChatGPT spat this out: Temperature (脗掳C) Thermistor Resistance (脦漏) Voltage Output (V) -40 36563.56 4.973962698 -35 26284.63 4.963854097 -30 19149 4.950518086 -25 14127.68 4.933166097 -20 10504.68 4.910527969 -15 7721.35 4.879055954 -10 5720.88 4.838133512 -5 4284.03 4.786165799 0 3240.18 4.721119717 5 2473.6 4.640900563 10 1905.87 4.543692515 15 1486.65 4.429695182 20 1168.64 4.296344225 25 926.71 4.144091368 30 739.98 3.972492431 35 594.9 3.782907287 40 481.53 3.577860996 45 392.57 3.361217186 50 322.17 3.136573398 55 266.19 2.908608143 60 221.17 2.68039363 65 184.72 2.455599277 70 155.29 2.239608872 75 131.38 2.035132288 80 112.08 1.846579676 85 96.4 1.674774149 90 82.96 1.511882199 95 71.44 1.359001674 100 61.92 1.222169588 105 54.01 1.100403407 110 47.24 0.989775394 115 41.42 0.889528391 120 36.51 0.800974069 125 32.38 0.723478416 130 28.81 0.654148313 135 25.7 0.591893137 140 23 0.536380597 145 20.68 0.487551867 150 18.59 0.442640126 155 16.74 0.40213318 160 15.11 0.365841848 165 13.66 0.333073247 170 12.38 0.303758956 175 11.25 0.277572169 180 10.24 0.253917873
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