Exercises — Power systems — solar arrays (I-V curve, power tracking), batteries (DoD, cycles), RTG
This is a self-testing ladder. Each problem states everything you need. Try it, then open the collapsible solution. The rungs climb from L1 Recognition (name the thing) to L5 Mastery (design a whole subsystem). Everything here builds on the parent power-systems note and touches Semiconductor Physics, Power Electronics, Orbital Mechanics (Keplerian) and Spacecraft Thermal Control.
Reference curve for the whole set — this figure shows a solar cell's I-V curve (blue: current falling as voltage rises), the power curve (pink: a single hill), and the three key points (max current at ), (max voltage at ), and the MPP (the peak of the power hill):

Level 1 — Recognition
Problem 1.1 — Read the curve
On the I-V curve above, name the three labelled operating points and state, in one phrase each, what is special about them.
Recall Solution
- ==Short-circuit current == — the point where terminal voltage (wires shorted). Current is at its maximum, power is zero (because ).
- ==Open-circuit voltage == — the point where current (no load connected). Voltage is at its maximum, power is again zero ().
- Maximum power point (MPP) — the knee of the curve where the rectangle of area is largest. This is where we want to operate.
Problem 1.2 — Units check
A battery is rated , . What is its total stored energy in watt-hours?
Recall Solution
Energy . Amp-hours times volts gives watt-hours. Writing the stored energy as (we reserve for charge, never energy): Why this works (explicit unit chain): carry the units through step by step.
- Convert amp-hours to coulombs (charge): .
- Multiply charge by volts (a volt is a joule per coulomb, so C·V = J): .
- Convert joules back to watt-hours (one Wh J): . The that entered in step 1 is exactly undone in step 3, which is why the shortcut "volts × amp-hours = watt-hours" works — the two conversions cancel.
Level 2 — Application
Problem 2.1 — Open-circuit voltage
A solar cell obeys the ideal single-diode equation where is the output current, the terminal voltage, the photocurrent, the dark saturation current, the ideality factor, and the thermal voltage. Given , , , , find the open-circuit voltage (the voltage at which ).
Recall Solution
is the voltage where current vanishes. Setting in the ideal cell equation and solving: Why the logarithm? The diode current grows exponentially with voltage; to cancel a fixed photocurrent we must undo that exponential — the inverse of is . Plugging in:
Problem 2.2 — Fill factor
For the same cell, the numerically found MPP is , . Compute the fill factor and .
Recall Solution
Maximum power: Fill factor is how "square" the curve is — the MPP rectangle divided by the ideal rectangle: This is in the typical GaAs-space-cell band (0.85–0.88).
Problem 2.3 — Sun-angle scaling
Sunlight hits a panel at off the surface normal. The full-sun intensity is . What intensity reaches the panel, and by roughly what fraction does drop?
Recall Solution
Only the component of light along the surface normal delivers power, and that projection is a cosine (adjacent over hypotenuse on the light-angle triangle): Photocurrent is proportional to absorbed photon flux, so scales with intensity: a 13.4% drop.
Level 3 — Analysis
Problem 3.1 — Derive the MPP condition
Starting from , show that at the maximum power point .
Recall Solution
WHAT: we want the top of the power hill. WHY the derivative: the slope is zero at a peak — that is the definition of a smooth maximum. (Product rule: differentiate leaving , plus times the derivative of .) Set it to zero at the MPP: What it means: the incremental conductance exactly cancels the bulk conductance . This is the identity the incremental-conductance MPPT controller watches for. See Power Electronics.
Problem 3.2 — Cycle-life scaling
Li-ion cycle life follows with cycles at and . How many cycles at DoD? At DoD?
Recall Solution
What the formula says: deeper discharge (DoD) means fewer cycles — the negative exponent flips the ratio. At : At (shallower — should give more cycles): The trend is right: shallower cycling more than doubles life.
Problem 3.3 — Temperature shift of MPP
A cell string has 40 series cells. Each cell's drifts by , and each cell's short-circuit current rises slightly with heat at of . Each cell starts at . The panel warms from to . How much does the string move, what is the per-cell percentage voltage drop, how much does change, and which way must MPPT push the operating voltage?
Recall Solution
Temperature change: . Voltage side (large, negative): per-cell drop . Across 40 series cells the voltages add: Per-cell percentage drop (relative to the start): Current side (tiny, positive): heat mildly narrows the bandgap so a few more photons are absorbed, nudging up: Compare the two effects: voltage falls by per cell while current rises only . The voltage loss dominates, so as the panel heats falls and MPPT must lower the operating voltage to stay on the peak. (Hotter carriers → more diode leakage → lower voltage; see Semiconductor Physics and Spacecraft Thermal Control.)
Level 4 — Synthesis
Problem 4.1 — Eclipse energy and battery sizing
A LEO spacecraft has a -minute orbit with a -minute eclipse. Eclipse-load is . The battery is , . If mission rules cap DoD at , does the battery cover one eclipse, and with what margin?
Recall Solution
Step 1 — energy needed: convert eclipse minutes to hours: . Step 2 — usable energy at 80% DoD: Step 3 — compare. , so yes, one eclipse is covered. Margin: , i.e. Equivalently the eclipse only uses DoD, comfortably under the 80% cap.
Problem 4.2 — Mission lifetime in eclipse cycles
Using the actual DoD from 4.1 () and the cycle-life law from 3.2 ( at , ), estimate the battery's cycle life and the mission years, given one eclipse per -min orbit.
Recall Solution
Cycle life at 52.1% DoD: Orbits per year: one cycle per orbit; a year is minutes, so orbits per year . Mission years: Interpretation: at ~52% DoD the battery is the life-limiter — under a year of eclipse cycling. To reach multi-year life you must lower DoD (bigger battery) or accept scheduled capacity fade. This is the classic tension in LEO power design.
Level 5 — Mastery
Problem 5.1 — RTG power budget over mission life
A radioisotope thermoelectric generator uses (half-life ). Its thermal output at launch is ; thermoelectric conversion efficiency is . Let be the mission elapsed time measured in years since launch. (a) Electrical power at launch? (b) Electrical power after years, treating both fuel decay and a /year converter degradation? Assume converter efficiency multiplies as with in years.
Recall Solution
(a) Launch electrical power: (b) Fuel decay follows exponential radioactive decay — activity halves every half-life, so the thermal power multiplies by where and are both in years (this is why we use the exponential: constant fractional decay per unit time is exactly , equivalently ). At : Converter degradation compounds yearly, with the same : Combine (multiply the two independent losses): So the RTG delivers about at year 14 — roughly of launch power. Deep-space loads must be scheduled around this monotone, predictable fade (contrast with solar, which also suffers radiation-driven degradation but depends on distance and geometry).
Problem 5.2 — Choose the architecture
A probe will operate at (near Saturn) for years, needing a steady . Solar intensity falls as . Solar at gives ; assume end-of-life array efficiency. Compute the required solar-array area, compare it against the RTG option from 5.1, and recommend an architecture.
Recall Solution
Step 1 — intensity at (inverse-square: doubling distance quarters the light): Step 2 — array area needed at efficiency to make . Electrical power out is , so solve for area : That is a large, deployment-risky array (about a square) delivering feeble power in permanent cold and dark, worsened by long-duration radiation damage. Step 3 — RTG comparison: the year-14 RTG of 5.1 already yields , which exceeds the required for the full 12-year mission, with no dependence on distance, sun angle, or eclipse and no deployment. Step 4 — recommendation: choose the RTG. At solar flux is weaker than at Earth, forcing an impractically huge array for modest power that still fails behind a planet's shadow; the RTG's fade is gentle, distance-independent, and its output comfortably meets the budget. This is exactly why outer-planet missions fly RTGs.
Recall
Which operating point has maximum power, , , or the MPP? ::: The MPP (the knee), because power is the product and both endpoints have one factor equal to zero. When light dims, which changes more, or ? ::: (linear in intensity); moves only logarithmically. Why do RTGs beat solar at Saturn? ::: Solar flux falls as ; at it is weaker, so solar needs a huge array while the RTG output is distance-independent.