Latest from Power

ID 107552055 © Scanrail | Dreamstime.com
car_headlight_dreamstime_l_107552055
Dreamstime_hanhanpeggy_19111839 (generated by AI)
dreamstime_hanhanpeggy_19111839
ID 254007506 © Pop Nukoonrat | Dreamstime.com
sustainable_dreamstime_l_254007506
Dreamstime_khunaspix_67619984
dreamstime_khunaspix_67619984_promo
ID 183244249 copyright Luschen | Dreamstime.com
dreamstime_l_183244249
ID 365125499 © Kittichai Boonpong | Dreamstime.com
evcharging_dreamstime_l_365125499
Www Electronicdesign Com Sites Electronicdesign com Files Maxim Battery Fig1

Advanced Battery Management for the Rest of Us (.PDF Download)

Oct. 15, 2018
Advanced Battery Management for the Rest of Us (.PDF Download)

Battery management, like military radars and supersonic jets, is a sophisticated technology that’s been out of reach for engineers who don’t have special clearance or deep pockets—until now.

Charging and fuel gauging—at the heart of every battery-management system—are critical components of any mobile or IoT application. Battery performance relies on a high-quality battery model to drive the fuel-gauging algorithm. Extraction of the right model for the chosen battery is difficult, expensive work. In fact, only a few large manufacturers have the resources to develop such models.

The accessibility of accurate models can be a huge barrier to the proliferation of low-volume portable applications. This article presents a disruptive approach to cracking the battery-management barrier with a quick, cost-effective, high-performance solution.

Fuel Gauging for the Few

The release of energy from a battery adds up to nothing less than a controlled explosion. The energy stored in the battery (capacity) depends on load and temperature. Hence, developers recognize the importance of characterizing the battery under various conditions. Once a model tuned to the battery behavior is extracted, it’s loaded into the fuel-gauge chip. This closely supervised process results in accurate gauging and safe battery charging and discharging.

1. It can be time-consuming to maximize battery performance and minimize the state-of-charge (SOC) error while correctly predicting if the battery is nearly empty.

Comments

To join the conversation, and become an exclusive member of Electronic Design, create an account today!