Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
BQ24266EVM-609

BQ24266EVM-609

Texas Instruments

EVAL MOD LI-ION BATTERY CHARGER

2

BQ24010EVM

BQ24010EVM

Texas Instruments

EVAL MOD FOR BQ24010

1

BQ27541EVM

BQ27541EVM

Texas Instruments

EVAL MODULE FOR BQ27541

1

TPS22910AEVM-656

TPS22910AEVM-656

Texas Instruments

EVAL MODULE FOR TPS22910A-656

3

BQ24133EVM-715-15V

BQ24133EVM-715-15V

Texas Instruments

EVAL MODULE FOR BQ24133-715-15V

5

PGA308EVM

PGA308EVM

Texas Instruments

EVALUATION MODULE FOR PGA308

2

HD3SS3411RWAEVM

HD3SS3411RWAEVM

Texas Instruments

EVAL MOD HD3SS3411RWA

1

DRV8412DDWEVM

DRV8412DDWEVM

Texas Instruments

EVAL MODULE FOR DRV8412

6

TXS0206AEVM

TXS0206AEVM

Texas Instruments

EVAL MODULE FOR TXS0206A

4

TLV3604EVM

TLV3604EVM

Texas Instruments

HIGH SPEED COMPARATOR WITH LVDS

5

TPS22907EVM-025

TPS22907EVM-025

Texas Instruments

MODULE EVAL FOR TPS22907-025

4

TPL0501EVM

TPL0501EVM

Texas Instruments

EVAL MODULE FOR TPL0501

3

DEM-OPA-SSOP-3E

DEM-OPA-SSOP-3E

Texas Instruments

UNPOPULATED DEMO BOARD

19

UCC21540EVM

UCC21540EVM

Texas Instruments

DEVELOPMENT INTERFACE

5

SN65CML100EVM

SN65CML100EVM

Texas Instruments

EVAL MOD FOR SN65CML100DGK

2

TPS65981EVM

TPS65981EVM

Texas Instruments

EVALUATION MODULE

2

DRV8842EVM

DRV8842EVM

Texas Instruments

EVAL MODULE FOR DRV8842

5

BQ24103EVM

BQ24103EVM

Texas Instruments

EVALUATION MODULE FOR BQ24103

1

LM74610-SQEVM

LM74610-SQEVM

Texas Instruments

SMART DIODE CONTROLLER EVAL MODU

10

TS3A226EEVM

TS3A226EEVM

Texas Instruments

EVAL MODULE FOR TS3A226E

5

Evaluation and Demonstration Boards and Kits

Evaluation and Demonstration Boards and Kits are hardware platforms designed to facilitate the development, testing, and demonstration of electronic systems. They serve as critical tools for engineers and developers to prototype applications, validate designs, and accelerate time-to-market. These boards integrate processors, sensors, communication interfaces, and software ecosystems, enabling rapid experimentation across diverse industries such as IoT, automotive, and industrial automation.

TypeFunctional FeaturesApplication Examples
Microcontroller Development BoardsEmbedded CPUs, GPIOs, integrated peripheralsIoT devices, robotics
FPGA Evaluation BoardsReconfigurable logic, high-speed interfacesCommunication systems, AI accelerators
Sensor Expansion KitsMulti-sensor integration (temperature, motion, etc.)Smart agriculture, environmental monitoring
Wireless Communication ModulesBluetooth/Wi-Fi/LoRa protocols, antenna interfacesConnected healthcare, smart cities

Typical architecture includes: - Processing Units: Microcontrollers, FPGAs, or SoCs - Memory: RAM, Flash, EEPROM - Interfaces: USB, UART, SPI, I2C, Ethernet - Power Management: Regulators, battery connectors - Software Stack: SDKs, device drivers, IDEs Physical designs often feature standardized form factors (e.g., Arduino Uno, Raspberry Pi HATs) for modular expansion.

ParameterDescription
Processor Performance (MHz/GHz)Determines computational capability
Memory Capacity (RAM/Flash)Affects program complexity and data storage
Interface TypesDictates peripheral compatibility
Power Consumption (mW/MHz)Critical for battery-operated devices
Operating Temperature (-40 C to +85 C)Defines environmental durability

- Internet of Things (IoT): Smart home controllers, edge AI nodes - Automotive: ADAS sensor fusion platforms - Industrial Automation: PLC controllers, predictive maintenance systems - Consumer Electronics: Wearables, AR/VR prototypes

ManufacturerRepresentative Products
STMicroelectronicsSTM32 Nucleo Series, SensorTile Kit
IntelIntel Edison, Movidius Neural Compute Stick
XilinxZynq UltraScale+ MPSoC Evaluation Kit
ArduinoArduino MKR Series, Nano 33 IoT

Key considerations: 1. Match processor capabilities to application complexity 2. Verify interface compatibility with target peripherals 3. Assess software ecosystem maturity (e.g., ROS support) 4. Evaluate power budget requirements 5. Consider long-term availability and community support

- Growing adoption of RISC-V-based evaluation platforms - Integration of AI/ML accelerators in edge computing boards - Expansion of open-source hardware ecosystems - Increased focus on energy-efficient architectures for IoT - Standardization of form factors (e.g., SparkFun's Qwiic system)

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