The low-power design discipline behind IoT devices that run for months or years on a charge: power budgets, sleep architecture, component choice and firmware habits.
Long battery life is designed, not optimised in at the end. It comes from four disciplines applied from day one: a written power budget, hardware chosen for its sleep currents, firmware architected so the device sleeps by default and wakes only briefly, and real measurements on real hardware throughout development. Devices engineered this way run months or years on a charge; devices where power was an afterthought last days.
Because during development everything is powered over USB and nobody notices the milliamps. The battery problem surfaces late — after the architecture, component choices and firmware structure that caused it are expensive to change. The teams that ship year-long battery life treat power as a requirement with a number attached, tracked from the first prototype.
A simple table, made before the schematic exists: every state the device can be in (deep sleep, sensing, radio transmit, display refresh), the current each state draws, and how many seconds per day it spends there. Multiply, sum, divide into the battery's capacity — that's your battery life, on paper, before you've built anything. Now every design decision can be tested against it: does this sensor's quiescent current fit the budget? Does waking every 30 seconds instead of every 5 minutes cost us four months?
Yes — it's how our own CanvasBT art frame runs up to a year per charge with a colour e-ink display and BLE. The same discipline applies whether the product is a wearable, an industrial sensor or a consumer device. If your prototype's battery life is a fraction of what it should be, that's a solvable engineering problem — our consultancy hunts power drains for a living, and our firmware team builds the sleep-first architecture from scratch.
Talk it through with an engineer — free, honest, no sales pitch.