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NBM7100ABQ

更新时间: 2024-11-08 15:18:47
品牌 Logo 应用领域
安世 - NEXPERIA /
页数 文件大小 规格书
56页 1447K
描述
Coin cell battery life booster with adaptive power optimizationProduction

NBM7100ABQ 数据手册

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NBM7100A; NBM7100B  
Coin cell battery life booster with adaptive power  
optimization  
Rev. 1 — 29 June 2023  
Product data sheet  
1. General description  
2. Features and benefits  
Programmable constant battery load current: 2 mA  
to 16 mA  
Protection against battery voltage dips (Brown-out)  
Pulse output current: > 200 mA  
Low ripple regulated programmable output voltage,  
VDH: 1.8 V to 3.6 V  
Ultra-low standby current: < 50 nA  
Peak conversion efficiency > 90% with adaptive  
optimization  
Integrated fuel gauge  
Small 16 pin lead-free package  
(SOT763-1/DHVQFN16;  
2.5 mm × 3.5 mm × 0.85 mm)  
The NBM7100A/B is a battery energy management  
device designed to maximize usable capacity from  
non-rechargeable, primary batteries when used in low-  
voltage, low-power applications requiring burst current  
loads. The devices overcome voltage drop and battery  
life limitations associated with extracting high pulse  
currents (Fig. 1) from lithium primary batteries such  
as 3 V lithium manganese dioxide (LiMnO2) coin cells.  
which are commonly used in wireless, low-power IoT  
sensor applications.  
The NBM7100A/B contains two stages of high  
efficiency DC-DC conversion and an intelligent learning  
algorithm. The first stage DC-DC conversion transfers  
energy from the lithium battery at a low constant  
current to a capacitive storage element. Once charged,  
a second DC-DC conversion cycle utilizes this stored  
energy to supply a regulated voltage with high pulse  
load current capability on the VDH output pin. The  
battery is never directly subjected to large load pulse  
currents, resulting in a longer, more predictable battery  
lifetime.  
Specified from -40 °C to +85 °C  
3. Applications  
Battery powered wireless microcontroller  
applications (IoT): Bluetooth®, LoRaWAN®,  
Sigfox, LTE-M, NB-IoT, Zigbee, etc.  
Industrial: temperature, occupancy, e-metering,  
electronic shelf label, asset tracking, irrigation  
monitoring  
Consumer/wearable: location tags, heart rate  
monitor, blood glucose meter, remote controls, key  
fobs  
The proprietary learning algorithm monitors the energy  
used during repetitive load pulse cycles and optimizes  
first stage DC-DC conversion to minimize the residual  
charge in the storage capacitor.  
A serial interface allows a microcontroller to change  
default configuration settings and read-back system  
information.  
Table 1. Related devices  
Type  
number  
Bus  
interface  
Auto  
start  
Pulse  
ILOAD  
NBM7100A I²C  
NBM7100B SPI  
Yes  
No  
≥ 200 mA  
≥ 200 mA  
CSTORE  
L
LX1  
LX2 CAP  
VDHS  
VDH  
VBT  
I
LOAD  
TX/RX  
TX/RX  
100 mA  
VDP  
NBM7100A  
SENSOR  
SCL  
SDA  
Sleep  
Temperature  
Pressure  
Flow  
RF MCU  
10 mA  
RDY  
ADR  
START  
Occupancy  
etc...  
TST  
VSS  
VSSP  
1-100 µA  
time (ms)  
aaa-036448  
aaa-036457  
Fig. 2. Simplified Application  
Fig. 1. IoT pulsed load profile  
 
 
 
 

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