Re: [EE]: considering charging capacitor losses. When a charged cap charges a discharged cap.
Jason White <[email protected]> Thu, 2 Apr 2026 08:09:25 -0400
| Newsgroups | gmane.comp.hardware.microcontrollers.pic |
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| Message-ID | <CAOFvGD64T1YCEVzrt-FHK59cMFMfkCgkP8fcmaWXLMy8VGARNQ@mail.gmail.com> |
For fun, I ran a series of SPICE simulations on what you discussed. It seems logical to me - the circuit changes if the series resistance is zero (ie. the resistor is deleted). Deleting a lossy component from an otherwise ideal circuit tends to produce that sort of change in behavior. However, everything has resistance and non-resistive materials/connections only exist as mathematical conveniences/approximations. Therefore, you can safely ignore the special case were resistance is zero and losses are zero. Energy in a capacitor is E=1/2*C*V^2 Discharging a 1F capacitor charged to 1V through a 1 ohm resistor into another 1F capacitor produces a final voltage of 0.5V. The initial system contained 0.5J of energy, and 0.25J is lost to the resistor. If there were no resistor (which is nonsense!) then the losses would be 0J and the final voltage would be 0.707V. We know that regardless of the resistor's value (so long as it is positive and nonzero) that the system will always reach the same final voltage eventually. Therefore the losses are fixed at 1/2 of the available energy. An analogy might be to ask "what happens when you take the charge on a parallel plate capacitor and rather than it being evenly distributed, you move all of the charge to the left half of the plates leaving no charge on the right half of the plates and then let it come to equilibrium." The answer to what it does "just depends" on how accurately you decide to model it (real material properties vs imaginary "ideal" material properties will produce totally different results). The case with ideal components/materials is completely made up - it should be unsurprising that it does not seem to match reality very closely. In summary: mathematical approximations are just approximations - ignore them for cases where they produce nonsensical results. -Jason White