A field team faces an unresolved physical question: Why is maximum power not maximum battery life? They must answer it before changing load resistance on the real device. Predict the direction first.
See the relationship before changing it
The figure reads from left to right. The blue card is load resistance. The middle card applies this page's relationship. The green card is load/internal ratio. Walk the arrows once: set the input, apply the rule, then read the result with its unit.
The retained audit below checks several chapter fixtures. This added model holds every other chapter fixture fixed, so the numeric fixture does not switch without explanation.
Derive the baseline in four named moves
- 1
Name the input. The chapter baseline for load resistance is 330.
- 2
Name the relationship. I=1.50/(330+0.150)=4.543 mA Vload=1.499 V Pload=6.81 mW Pinternal=0.00310 mW efficiency=330/(330.150)=99.955%
- 3
Substitute the chapter fixture. Set load resistance to 330. The page ledger gives load/internal ratio as 2200.0 times.
- 4
Read the result. Keep times beside the value. Use it only inside the technical boundary on this page.
Predict, then change load resistance
Try Predict the direction of load/internal ratio. Move one control, calculate, then check your prediction.
Observe Maximum power occurs at equal resistances because current and load share balance there; maximum efficiency pushes load resistance much higher. Reset the control to 330 and compare load/internal ratio.
Explain Only load resistance moves here. The other chapter fixtures remain fixed.
Check yourself
What should you do before trusting a moved-control result?
What does this small model leave out?
1. Start with the physical story
A real cell hides resistance inside itself. The same current that powers the load also heats that resistance, so delivered power and efficiency are separate questions.
2. Name every algebra move
Add series resistanceRtotal=Rint+Rload.
Find currentI=Voc/Rtotal.
Find load voltageVload=IRload.
Split powerPload=I^2Rload and Pint=I^2Rint.
Form efficiencyeta=Pload/(Pload+Pint).
3. Reproduce the chapter case
Vload=1.499 V
Pload=6.81 mW
Pinternal=0.00310 mW
efficiency=330/(330.150)=99.955%
At Rload=Rint=0.150 ohm the load power is maximal but half the source power becomes heat.
4. Try one real input
TryMove the control, predict the direction, then compare every output.
ObserveIncreasing load resistance cuts current and source heating while efficiency rises, although delivered load power eventually falls.
ExplainMaximum power occurs at equal resistances because current and load share balance there; maximum efficiency pushes load resistance much higher.
This is a transparent first-order teaching ledger tied to the chapter constants.
- Cell model
- Internal resistance is treated as fixed and purely ohmic.
- Dynamics
- Pulse sag, chemistry, capacity, recovery, ageing, and temperature are omitted.
- Load
- A real node changes resistance across sleep, radio, and actuator states.
Correct, not complete: this ledger does not qualify a battery, regulator, pulsed load, or runtime claim.
5. Use the result in the design
Evaluate every load state and pulse, compare sag with brownout limits, then use a cell model or measured profile for lifetime.
6. Record the evidence state
Record open-circuit voltage, pulse current, loaded voltage, inferred internal resistance, temperature, state of charge, pulse duration, and recovery.
7. Check yourself
Why is matched load only 50% efficient?
Why not choose infinite load resistance?
Does 330 ohms predict battery life?
The arithmetic reproduces the named chapter case; it is an inspectable model, not a component approval.
- Cell model
- Internal resistance is treated as fixed and purely ohmic.
- Dynamics
- Pulse sag, chemistry, capacity, recovery, ageing, and temperature are omitted.
- Load
- A real node changes resistance across sleep, radio, and actuator states.
Correct, not complete: this ledger does not qualify a battery, regulator, pulsed load, or runtime claim.
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