NEH2000BYJ

Nexperia
771-NEH2000BYJ
NEH2000BYJ

Mfr.:

Description:
Power Management Specialised - PMIC ANALOG & LOGIC

Datasheet:
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Learn more about Nexperia NEH2000BYJ

In Stock: 3.896

Stock:
3.896 Can Dispatch Immediately
Factory Lead Time:
10 Weeks Estimated factory production time for quantities greater than shown.
Quantities greater than 3896 will be subject to minimum order requirements.
Minimum: 1   Multiples: 1
Unit Price:
-,-- kr.
Ext. Price:
-,-- kr.
Est. Tariff:
Packaging:
Full Reel (Order in multiples of 5000)

Pricing (DKK)

Qty. Unit Price
Ext. Price
Cut Tape / MouseReel™ †
15,37 kr. 15,37 kr.
10,44 kr. 104,40 kr.
9,40 kr. 940,00 kr.
8,88 kr. 1.776,00 kr.
8,50 kr. 4.250,00 kr.
8,28 kr. 8.280,00 kr.
8,06 kr. 20.150,00 kr.
Full Reel (Order in multiples of 5000)
7,76 kr. 38.800,00 kr.
† A MouseReel™ fee of 47,00 kr. will be added and calculated in your basket. All MouseReel™ orders are non-cancellable and non-returnable. ↩

Product Attribute Attribute Value Select Attribute
Nexperia
Product Category: Power Management Specialised - PMIC
RoHS:  
Special Purpose
SMD/SMT
QFN-16
1.25 V
4.5 V
- 40 C
+ 85 C
100 mA
Reel
Cut Tape
MouseReel
Brand: Nexperia
Product: Energy Harvesting PMICs
Product Type: Power Management Specialized - PMIC
Factory Pack Quantity: 5000
Subcategory: PMIC - Power Management ICs
Part # Aliases: 935691544118
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Attributes selected: 0

Datasheet

PCN

TARIC:
8542399000
CNHTS:
8542399000
CAHTS:
8542390000
USHTS:
8542390090
MXHTS:
8542399999
ECCN:
EAR99

NEH2000BYJ Energy Harvesting PMIC

Nexperia NEH2000BYJ Energy Harvesting PMIC is a high-performance energy harvesting solution for low-power applications. The NEH2000BYJ harvests energy generated by a photovoltaic (PV) cell. The energy charges a rechargeable battery. Nexperia's Maximum Power Point Tracking (MPPT) uses an embedded hill-climbing algorithm to deliver the maximum power to the load. The MPPT is designed to be independent of specific characteristics of the harvesters. Any harvester that fits the specifications of the chip can be used. The algorithm can detect the maximum power point every 0.7s resulting in maximum efficiency in various environments where energy can rapidly change over time. 

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