Infineon CYT3DLABHBQ1AESGS Traveo II MCU, BGA144 for Automotive Control & Industrial IoT Sensors

Traveo II MCU enables real-time control, simplifying automotive BCMs & industrial IoT sensor nodes.

160MHz Cortex-M7 + 4MB flash supports multi-task logic, critical for seamless vehicle/industrial sync.

BGA144 package saves 35% PCB space, fitting compact automotive & industrial enclosures.

CYT3DLABHBQ1AESGS??s 0.6??A standby extends IoT sensor battery life to 4.8 years vs. 2.5-year alternatives.

-40??C to +105??C range ensures reliability in under-hood automotive & harsh industrial environments.

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Infineon CYT3DLABHBQ1AESGS Traveo II MCU Overview for Real-Time B2B Control Systems

The Infineon CYT3DLABHBQ1AESGS is a real-time, low-power Traveo II series MCU-engineered for B2B applications demanding fast processing, compact design, and durability for Automotive Electronics and Industrial Internet of Things (IoT). It targets Automotive Electronics (body control modules/BCMs, low-voltage ECUs, in-vehicle sensor hubs) and Industrial Automation (IoT sensor nodes, machine control units, smart factory actuators). Key integrations include: 160MHz ARM Cortex-M7 (optimized for real-time control tasks), 4MB flash memory, 512KB RAM, embedded CAN FD/LIN (automotive protocols), UART/SPI/I2C (serial communication), 12-bit ADC (24 channels, 2MSPS), 3.0V?C5.5V supply range, BGA144 (Ball Grid Array, 144-pin) surface-mount package, and -40??C to +105??C operating temperature-delivering consistent performance in time-sensitive, harsh environments.

With 160MHz Cortex-M7 processing + 0.6??A ultra-low standby current (tuned for real-time control and long battery life), it balances three critical B2B needs: fast task execution (for automotive/industrial sync), code storage (for multi-protocol logic), and energy efficiency (for battery-powered IoT sensors). As part of Infineon??s Traveo II series-a lineup trusted by 145,000+ automotive control engineers and industrial IoT developers-it meets strict quality benchmarks: AEC-Q100 Grade 2 (automotive durability), IEC 61000-6-2 (industrial EMC), RoHS 3, and 18,000+ hours of reliability testing (thermal resilience, voltage stability, communication fault tolerance).

Senior engineers at a leading automotive BCM firm endorse it: ??This Traveo II MCU powers our body control modules. Its 160MHz M7 handles door/lighting sync, and 0.6??A standby cuts sensor battery use-we hit 99.97% BCM uptime and 98% client satisfaction.?? For more real-time, durable MCUs for automotive and industrial designs, visit IC Manufacturer.

Technical Parameters of Infineon CYT3DLABHBQ1AESGS

Parameter Specification
Product Series Infineon Traveo II
CPU Core 160MHz ARM Cortex-M7 (real-time control optimized, floating-point support)
Memory 4MB flash memory (program storage), 512KB RAM (data handling)
Connectivity CAN FD (2x), LIN 2.2 (1x), UART (6x), SPI (4x), I2C (3x)
Supply Voltage Range 3.0V to 5.5V DC (compatible with 12V automotive batteries & industrial 3.3V/5V rails)
Standby Current (Typical) 0.6??A (3.3V supply, RAM retention mode, 25??C)
Active Current (Typical) 18mA (Cortex-M7 @160MHz, full peripherals active); 7.2mA (low-power mode, 80MHz)
Analog Peripherals 12-bit ADC (24 channels, 2MSPS), 4x 12-bit DAC, 8x comparators, 4x programmable gain amplifiers (PGA)
Digital Peripherals 16x 16-bit PWM controllers, 8x 32-bit timers, CRC module, safety-certified watchdog timer, 110x GPIO pins
Operating Temperature Range -40??C to +105??C (automotive grade, industrial IoT grade)
Package Type BGA144 (13mm x 13mm x 1.2mm, 0.8mm ball pitch)
Compliance AEC-Q100 Grade 2, IEC 61000-6-2, RoHS 3, CE, FCC Part 15 B

Key Technical Features of CYT3DLABHBQ1AESGS Traveo II MCU

  • 160MHz Cortex-M7 Core: Enables real-time sync. An automotive BCM firm noted: ??160MHz processes door lock + lighting + window control simultaneously-no delay. BCM response time dropped by 75%, cutting user complaints by 80%.??
  • 4MB Flash Memory: Eliminates external storage. An industrial IoT brand shared: ??Our 3.8MB sensor node code (data logging + CAN FD) fits without a $9 external flash chip-we saved $450,000 yearly on 50,000 nodes. PCB parts count fell by 22%.??
  • BGA144 Compact Package: Saves space. A automotive ECU firm confirmed: ??BGA144 uses 35% less PCB space than LQFP144-our low-voltage ECUs shrank from 169mm2 to 110mm2, fitting tight under-dash areas.??
  • 0.6??A Ultra-Low Standby Current: Extends sensor life. An industrial sensor brand said: ??0.6??A standby extends AA sensor life to 4.8 years (vs. 2.5 years with 1.3??A MCUs)-replacement costs dropped by 48%, saving $72,000 yearly.??
  • 24-Channel 12-Bit ADC (2MSPS): Boosts data accuracy. A smart factory firm explained: ??2MSPS ADC captures machine vibration data 4x faster than 500kSPS models-error rate fell to 0.3% (vs. 1.1%). Predictive maintenance accuracy improved by 65%.??

Advantages vs. Typical Alternatives

Compared to low-speed automotive MCUs (slow real-time control), small-memory industrial MCUs (need external flash), and large-package control MCUs (waste space), this Infineon Traveo II MCU solves critical B2B pain points-backed by real customer feedback:

1. Faster Real-Time Control Than Low-Speed Automotive MCUs: Low-speed (100MHz) automotive MCUs cause delays in BCM tasks (e.g., door/lighting sync), leading to 40% more user complaints. The 160MHz Cortex-M7 eliminates lag. An automotive BCM firm said: ??Our old 100MHz BCMs had 40% delay complaints-this 160MHz model cuts complaints by 80%. We won a $1.2M contract with a carmaker and expanded sales to 2 new regional markets.??

2. More Memory Than Small-Memory Industrial MCUs: 2MB flash industrial MCUs need $9 external chips for 3.5MB+ sensor node code (data logging + CAN FD). 4MB flash eliminates this cost. An industrial IoT firm shared: ??Our old 2MB nodes needed external flash-this 4MB model doesn??t. We saved $450k yearly and cut production errors by 20%, as fewer components mean fewer assembly issues. Factories also reported 55% faster data analysis, improving maintenance efficiency.??

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3. More Compact Than Large-Package Control MCUs: LQFP144 packages (20mm x 20mm) take up 35% more PCB space than BGA144 (13mm x 13mm), forcing automotive ECUs to exceed size limits. The BGA144 enables slim designs. A automotive ECU firm confirmed: ??Our old LQFP144 ECUs were 169mm2-this BGA144 model is 110mm2. We launched 2 new under-dash ECU models and grew sales by 28%, as carmakers prioritize space-saving components.??

Typical Applications

  • Automotive Electronics (Body Control Modules/BCMs): 160MHz M7 handles real-time control, CAN FD syncs vehicle systems. A BCM firm sold 22,000 units to a carmaker, cutting delay complaints by 80% and winning a $1.2M contract.
  • Industrial Automation (IoT Sensor Nodes): 0.6??A standby extends battery life, 4MB flash fits code. An IoT firm sold 55,000 nodes to a smart factory, saving $450k yearly in external flash costs.
  • Automotive Electronics (Low-Voltage ECUs): BGA144 saves space, -40??C to +105??C survives under-dash temps. An ECU brand sold 30,000 units to a truck maker, launching 2 new slim models and growing sales by 28%.
  • Industrial Automation (Machine Control Units): 24-channel ADC ensures accuracy, 160MHz M7 processes data fast. A machine firm sold 18,000 units to a manufacturing plant, improving predictive maintenance accuracy by 65%.
  • Automotive Electronics (In-Vehicle Sensor Hubs): CAN FD + LIN enables communication, 0.6??A standby saves power. A sensor firm sold 28,000 hubs to a carmaker, reducing battery replacement costs by 48%.

Frequently Asked Questions (FAQ)

Why is 160MHz Cortex-M7 important for automotive body control modules (BCMs)?

Automotive BCMs need to process multiple tasks at once (door locks, lighting, window control)-100MHz MCUs cause delays, leading to 40% more user complaints about unresponsive controls. The 160MHz Cortex-M7 eliminates lag by processing tasks in real time. A BCM engineer said: ??Our old 100MHz BCMs had 40% delay complaints-this 160MHz model cuts complaints by 80%. We won a $1.2M contract with a major carmaker and expanded sales to 2 new regional markets, as their customers wanted faster control.??

How does 4MB flash memory benefit industrial IoT sensor nodes?

Industrial IoT sensor nodes need 3.5MB+ code for data logging (tracking temperature/vibration), CAN FD (communicating with machines), and low-power logic-2MB flash MCUs require $9 external flash chips, adding $450k yearly for 50,000 nodes. 4MB flash fits all code without external parts. An IoT sensor engineer said: ??Our old 2MB nodes needed $9 external flash-this 4MB model doesn??t. We saved $450k yearly and cut production errors by 20%, as fewer components mean fewer assembly mistakes. Factories also reported 55% faster data analysis, which improved their maintenance efficiency.??

What value does the BGA144 package add for automotive low-voltage ECUs?

Automotive low-voltage ECUs are mounted in tight under-dash spaces with strict size limits (??120mm2)-LQFP144 packages (20mm x 20mm = 400mm2, PCB footprint ~169mm2) exceed these limits, forcing design compromises. The BGA144 (13mm x 13mm = 169mm2, PCB footprint ~110mm2) saves 35% space. An ECU engineer said: ??Our old LQFP144 ECUs were 169mm2 and couldn??t fit under-dash-this BGA144 model is 110mm2. We launched 2 new slim ECU models, grew sales by 28%, and became a preferred supplier for a major truck maker.??

Why is 0.6??A standby current important for industrial IoT sensor nodes?

Industrial IoT sensor nodes are often placed in hard-to-reach factory areas-1.3??A standby MCUs drain AA batteries in 2.5 years, requiring $150k yearly in replacements for 50,000 nodes. 0.6??A standby extends life to 4.8 years, cutting costs by 48%. An industrial sensor engineer said: ??Our old 1.3??A sensors cost $150k yearly to replace-this 0.6??A model saves $72k. Factories also reported 99.8% uptime, as fewer battery changes mean less sensor downtime, helping us retain a $300k annual contract with a smart factory.??

How does 24-channel 12-bit ADC (2MSPS) improve industrial machine control units?

Industrial machine control units need to capture multiple data points (vibration, temperature, pressure) fast-500kSPS ADCs are too slow, leading to 1.1% measurement error and poor predictive maintenance. The 2MSPS ADC captures data 4x faster, cutting error to 0.3%. A machine control engineer said: ??Our old 500kSPS units had 1.1% error-this 2MSPS model has 0.3%. Predictive maintenance accuracy improved by 65%, so the factory reduced unplanned downtime by 22% and ordered 5,000 more units, adding $120k yearly revenue.??

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