- EV Charging
- Energy Storage Systems (ESS)
- Industrial Communications
- Home & Building Automation
EV charging stations require high levels of efficiency, accuracy, connectivity and security. NXP solutions meet the requirements with accurate power measurement, device management and data security. Our rich enablement supports faster time to market with less complexity and reduced cost.
APPLICATION: EV CHARGING STATION |
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Featured parts:
i.MX 93 Applications Processors
- Learn more
- PMIC: PCA9451
- RTC: PCF2131

KM3x Precision Metrology MCUs

i.MX RT1060 Crossover MCUs

MC56F8xxx Digital Signal Controllers
- Factsheet
- Search Parts
- RTC: PCF2131

P3T1755DP Temperature Sensor

NBP8-9x Battery Pressure Monitor Sensor
Design Further
Signal Management Interfaces
(Voltage Level Translators, GPIO Expanders, LED Drivers)
Module Partners
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Additional Resources
When milliamps matter and the phases must align, our intelligent solutions accurately sense voltage/current and efficiently convert between energy formats for more efficient energy conversion and storage. Utilize our building blocks to design highly efficient and connected power and energy systems.
High Voltage Battery Management System (BMS) based on NXP Solution
APPLICATION: ENERGY STORAGE SYSTEMS | APPLICATION: Energy Gateway |
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Block Diagram | Block Diagram |
Featured parts:
i.MX 93 Applications Processors
- Learn more
- PMIC: PCA9451
- RTC: PCF2131

Analog Front End

LPC55S69 Microcontrollers
- Factsheet
- Search Parts
- RTC: PCF2131

MC56F8xxx Digital Signal Controllers
- Factsheet
- Search Parts
- RTC: PCF2131

EdgeLock® SE050x
- Whitepaper: Securing the Industrial IoT
- Search Parts

Design Further
Signal Management Interfaces
(Voltage Level Translators, GPIO Expanders)
Module Partners
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COMING SOON!
MCX N Video
Industrial IoT using secure edge computing and artificial intelligence is giving rise to intelligent automation systems that use real-time information to optimize efficiencies. At the heart of these cyber-physical interconnected systems is advanced deterministic communications technologies that can converge information technology (IT) and operational technology (OT) networks.
Remote I-Os for Programmable Logic Controller (PLC) based on NXP Solution
APPLICATION: INDUSTRIAL NETWORK DEVICES | APPLICATION: PLC |
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Block Diagram | Block Diagram |
Featured parts:
i.MX 93 Applications Processors
- Learn more
- PMIC: PCA9451
- RTC: PCF2131

LS1028A Applications Processors

i.MX 8M Plus Crossover MCUs
- Factsheet
- Search Parts
- RTC: PCF2131

i.MX RT1170 Crossover MCUs
- Factsheet
- Search Parts
- RTC: PCF2131

SJA1110 TSN Ethernet Switch

IW612 Tri-Radio Solution

Design Further
Sensors
(Temp, Accelerometers, Pressure, Magnetic, RTCs)
Analog Front-End
Module Partners
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COMING SOON!
i.MX RT1180 Crossover MCU
Unify Industrial IoT Communications with NXP i.MX RT1180
From industrial meters to home energy management systems and beyond, NXP's energy solutions provide greater efficiencies within complex energy management and distribution processes that support the cleaner, more efficient energy infrastructure our world needs.
IP Camera Surveillance based on NXP Solution
APPLICATION: SMART ELECTRICITY MOTOR | APPLICATION: BUILDING SECURITY |
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Block Diagram | Block Diagram |
Featured parts:
i.MX 93 Applications Processors
- Learn more
- PMIC: PCA9451
- RTC: PCF2131

i.MX RT1170 Crossover MCUs
- Factsheet
- Search Parts
- RTC: PCF2131

i.MX 8M Mini Applications Processors
- Factsheet
- Search Parts
- RTC: PCF2131

K32W0/W1 Multiprotocol MCUs

NMH1000 Magnetic Switch

Wi-Fi® + Bluetooth® + 802.15.4

Design Further
Sensors
(Temp, Accelerometers, Pressure, Magnetic)
Signal Management Interfaces
(Voltage Level Translators, GPIO Expanders)
Module Partners
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COMING SOON!
MCX N Series Advanced Microcontrollers
What is IEC 62443 for Industrial Cyber Security
Giveaway
Application Processor Evaluation Kit
Enter for your chance to win an i.MX 93 Arm® Cortex®-A55 evaluation board for efficient industrial applications.

Fact Sheet
eIQ® ML Software Development Environment
The NXP eIQ (“edge intelligence”) ML software environment provides the key ingredients to do inference with neural network (NN) models on embedded systems and deploy ML algorithms on NXP MPUs and MCUs for edge nodes.
