2026년 102개의 휴대용 발전소가 구매에 대해 알려주는 것

If you’ve ever tried to buy a portable power station, you know the problem: every brand claims to be the best, the spec sheets are a wall of numbers, and the forums are full of confident but contradictory advice. “What size do I actually need?” is the most-asked question and the least-clearly-answered.

So I did the boring thing. I built a structured database of 102 portable power stations from 24 brands — capacity, output, chemistry, cycle life, solar input, weight, price — and started running the numbers. A few findings were genuinely surprising.

1. Prices quietly collapsed

The median portable power station now sits at $0.61 per watt-hour. The cheapest in the dataset is $0.39/Wh (the GRECELL T1000). A few years ago, ~$1/Wh was normal and anything under $0.70 felt like a deal.

The practical takeaway: if you’re paying much more than ~$0.70/Wh in 2026, you’re mostly paying a brand premium. That premium sometimes buys you a better app, ecosystem, or support — but it’s worth knowing you’re paying it.

2. LiFePO4 basically won

94% of the models I track now use LiFePO4 (lithium iron phosphate) instead of the older lithium-ion (NMC) chemistry. This matters more than any marketing bullet point:

• LiFePO4: ~3,000–4,000+ charge cycles
• Older Li-ion (NMC): ~500 cycles

At daily use — say you cycle it every day in a van or for backup — that’s roughly 8 years vs 18 months before the battery is meaningfully degraded. If a listing still uses NMC to hit a lower price, that “deal” can cost you far more over its life.

3. The fridge myth costs people hundreds of dollars

This is the single most common sizing mistake. People size a giant, expensive battery to run a fridge because they do the math like this:

Fridge nameplate (150W) × 24 hours = 3,600 Wh/day

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But a fridge’s compressor only runs about 40% of the time. Its real average draw is closer to 60W, so:

150W × 40% × 24h ≈ 1,440 Wh/day

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In runtime terms: a 1,000Wh power station runs a full-size fridge for about 14 hours, not the ~6 hours the nameplate math implies. Sizing on the nameplate number pushes people into a battery twice as big — and twice as expensive — as they need.

The same logic applies to anything with a compressor or thermostat: fridges, coolers, some medical devices.

4. Small devices are cheaper to run than you think

A basic CPAP machine (no heated humidifier) sips about 40W, so a modest 500Wh station gives you a full night. Flip on the heated humidifier and the draw roughly doubles — now you want 750Wh+ for the same night. Knowing which features double your power draw is worth more than buying a bigger battery.

How to size your own system (the honest formula)

You don’t need a huge battery; you need the right one. Here’s the math the calculator on my site automates:

1. Daily energy: add up each device’s watts × hours per day (remember the ~40% duty cycle for fridges/coolers).
2. Battery size: daily Wh × backup days ÷ 0.85 (LiFePO4 gives you ~85% usable after real-world losses).
3. Solar to recharge in a day: daily Wh ÷ peak sun hours ÷ 0.75 (the 0.75 accounts for wiring, controller, and temperature losses).
4. Inverter: add the running watts of everything you’d run at once, then add ~25% headroom for startup surge.

If you want it done automatically from an appliance list, I built a free calculator here: https://sunsee.cc/calculator

Methodology & the full data

Everything above comes from a spec database I maintain. To keep product comparisons honest, I score each unit 0–100 across six weighted dimensions — value ($/Wh), cycle life, power density, charge speed, solar capability, and output — with the formula published openly (no pay-to-play):

• Full data study, with per-brand $/Wh and price-by-year tables: https://sunsee.cc/data
• Scoring methodology: https://sunsee.cc/score

The data is free to cite (CC-BY) — just credit the source.

How it’s built (for the devs)

Under the hood this is a static site: Astro + React + Tailwind on Cloudflare Pages, $0/month hosting. The interesting bet is on distribution: instead of only chasing Google rankings, everything is exposed as a free JSON API + an MCP discovery endpoint + an llms.txt, so AI assistants can query products, run the sizing calculator, and fetch runtime data directly — with attribution and affiliate links included.

The theory: a growing share of “which power station should I buy?” questions will be answered by an assistant, not a search box. So the goal is to be the data source those assistants cite, not just another blog fighting for page one.

• API: https://sunsee.cc/api/products.json
• Discovery: https://sunsee.cc/api/mcp.json

If you’ve measured referral traffic from AI assistants — or have opinions on backlinks vs classic SEO for a data/tool site — I’d love to hear it in the comments.

Data from SunSee (https://sunsee.cc), CC-BY-4.0. Prices are MSRP and may vary by retailer.