With the rapid advancement of autonomous driving technology and the growing demand for driver training, autonomous driving training vehicles have become crucial platforms for developing and validating driving algorithms. Their power electronic systems, serving as the "nerves and muscles" of the vehicle, need to provide robust, efficient, and intelligent power conversion for critical loads such as main drive inverters, electric power steering (EPS), brake-by-wire systems, and various sensor/controller units. The selection of power MOSFETs directly determines the system's power density, conversion efficiency, thermal management, operational reliability, and safety. Addressing the stringent requirements of training vehicles for functional safety, high power handling, continuous operation, and harsh environment tolerance, this article centers on scenario-based adaptation to reconstruct the power MOSFET selection logic, providing an optimized solution ready for direct implementation.
I. Core Selection Principles and Scenario Adaptation Logic
Core Selection Principles
High Voltage & Current Robustness: For vehicle systems like 12V, 48V, or high-voltage traction (e.g., 400V+), MOSFETs must have sufficient voltage margin (>30-50% derating) and current rating to handle load dumps, regenerative braking spikes, and in-rush currents.
Ultra-Low Loss for High Efficiency: Prioritize devices with exceptionally low on-state resistance (Rds(on)) and optimized gate charge (Qg) to minimize conduction and switching losses in high-power paths, crucial for battery life and thermal management.
Package for Power & Thermal Demands: Select packages like TO-220, TO-247, TO-263 based on power dissipation and available cooling solutions (heatsink, liquid cooling). Balance high-power handling with mechanical robustness.
Functional Safety & Reliability: Devices must support ASIL (Automotive Safety Integrity Level) considerations where applicable, featuring high junction temperature capability, stable parameters over lifetime, and resilience against automotive environmental stresses (vibration, thermal cycling).
Scenario Adaptation Logic
Based on the core electrical subsystems within an autonomous driving training vehicle, MOSFET applications are divided into three main scenarios: High-Voltage Traction/Inverter Drive (Power Core), Medium-Voltage Actuator Control (Steering/Braking), and Low-Voltage Domain Power Management (Sensors/ECUs). Device parameters and packages are matched accordingly.
II. MOSFET Selection Solutions by Scenario
Scenario 1: Auxiliary Inverter / High-Power Auxiliary Drive (e.g., 48V Systems, High-Current Pumps) – Power Core Device
Recommended Model: VBL1615A (Single-N, 60V, 120A, TO-263)
Key Parameter Advantages: Ultra-low Rds(on) of 7mΩ (at 10V Vgs) and very low 9mΩ (at 4.5V Vgs), enabling high-efficiency operation even with lower gate drive. Massive 120A continuous current rating handles high auxiliary loads.
Scenario Adaptation Value: The TO-263 (D²PAK) package offers excellent power dissipation capability on a heatsink. The ultra-low conduction loss minimizes heat generation in high-current paths like 48V motor drives or cooling system pumps, directly improving system efficiency and reliability. Suitable for frequent start-stop cycles in training scenarios.
Applicable Scenarios: 48V BLDC motor drives for auxiliary systems, high-current DC-DC converter stages, electric coolant/oil pump control.
Scenario 2: Electric Power Steering (EPS) / Brake-By-Wire Actuator Drive – Safety-Critical Actuator Device
Recommended Model: VBGL11515 (Single-N, 150V, 70A, TO-263)
Key Parameter Advantages: Balanced 150V voltage rating suitable for 48V/72V vehicle bus systems with ample margin. Low Rds(on) of 13.5mΩ (at 10V Vgs) ensures low loss. High current capability of 70A meets peak torque demands of EPS motors.
Scenario Adaptation Value: The SGT technology offers a good balance of switching speed and ruggedness. The TO-263 package facilitates direct mounting to a shared actuator heatsink. This device provides the robust and efficient switching required for safety-critical actuator systems that demand immediate and precise torque response during autonomous maneuvering exercises.
Applicable Scenarios: H-bridge/inverter drives for EPS motors, electromechanical brake (EMB) actuator motor control, other medium-voltage, medium-power mechatronic actuators.
Scenario 3: Domain Controller & Sensor Array Power Distribution – Intelligent Power Management Device
Recommended Model: VBA3104N (Dual N+N, 100V, 6.4A per Ch, SOP8)
Key Parameter Advantages: Integrated dual N-MOSFETs in a compact SOP8 package, saving board space. 100V rating offers strong protection for 12V/24V automotive networks. Low gate threshold voltage (Vth=1.8V) allows direct drive by 3.3V/5V microcontrollers.
Scenario Adaptation Value: The dual independent channels enable intelligent, separate power rail control for different sensor clusters (LiDAR, Radar, Cameras) or domain controllers. This supports individual module sleep/wake cycling, fault isolation, and in-rush current limiting—critical for managing the complex electrical architecture of a training vehicle and ensuring sensor availability.
Applicable Scenarios: Active load switch for ADAS sensor modules, power supply sequencing for computing units, low-side switch for solenoid valves in transmission/suspension control.
III. System-Level Design Implementation Points
Drive Circuit Design
VBL1615A / VBGL11515: Require dedicated gate driver ICs with adequate peak current capability. Optimize gate drive loop layout to prevent parasitic oscillation. Use negative voltage clamping for robust turn-off in high-side configurations if needed.
VBA3104N: Can be driven directly by MCU GPIO for low-side switching. Include series gate resistors and local decoupling. Consider adding RC snubbers if switching inductive loads.
Thermal Management Design
Graded Heat Sinking Strategy: VBL1615A and VBGL11515 necessitate connection to a substantial heatsink (vehicle chassis or dedicated cold plate) using thermal interface material. VBA3104N relies on PCB copper pour for heat dissipation.
Derating & Monitoring: Adhere to automotive derating guidelines (e.g., 80% voltage, 70-80% current at max ambient temperature). Implement temperature monitoring for high-power MOSFETs to enable derating or shutdown strategies.
EMC and Reliability Assurance
EMI Suppression: Utilize low-ESR/ESL capacitors very close to the drain-source of high-power MOSFETs. Employ shielded cables for motor connections. Implement proper filtering on gate drive and power supply lines.
Protection Measures: Integrate comprehensive protection: desaturation detection for VBL1615A/VBGL11515, TVS diodes on all power inputs, robust fusing. Ensure all selected MOSFETs have avalanche energy (UIS) ratings suitable for automotive transients.
IV. Core Value of the Solution and Optimization Suggestions
The power MOSFET selection solution for autonomous driving training vehicles, based on scenario adaptation logic, achieves coverage from high-power auxiliary drives to safety-critical actuators and intelligent power distribution. Its core value is mainly reflected in the following three aspects:
Enhanced System Efficiency and Thermal Performance: Selecting ultra-low Rds(on) devices like VBL1615A for high-current paths significantly reduces conduction losses. This translates to extended operational range for battery-powered systems, reduced cooling system load, and improved overall energy efficiency—a key factor for training vehicles undergoing prolonged, repetitive driving cycles.
Built-In Support for Functional Safety and Redundancy: The use of robust, derated devices like VBGL11515 for actuators and the intelligent power domain control enabled by VBA3104N contribute to a system architecture that supports functional safety goals. Independent channel control allows for graceful degradation and fault containment, which is essential for maintaining basic vehicle functions during training sessions even if a non-critical subsystem fails.
Optimal Balance of Performance, Reliability, and Cost: The chosen devices represent mature, automotive-grade or industrial-grade technology with proven field reliability. Compared to emerging wide-bandgap solutions, they offer a highly cost-effective path to building robust and high-performance power systems for training vehicles, accelerating development and deployment while ensuring durability under demanding test conditions.
In the design of the power electronics for autonomous driving training vehicles, power MOSFET selection is a foundational element for achieving robustness, intelligence, and safety. The scenario-based selection solution proposed in this article, by accurately matching the stringent requirements of different vehicle subsystems and combining it with system-level drive, thermal, and protection design, provides a comprehensive, actionable technical reference. As training vehicles evolve towards higher levels of automation, integration, and data-intensive operation, power device selection will increasingly focus on synergy with system-level safety and health management. Future exploration could focus on the application of automotive-qualified SiC MOSFETs for ultra-high efficiency traction inverters and the development of smarter, integrated power modules with built-in diagnostics, laying a solid hardware foundation for the next generation of highly reliable and intelligent autonomous driving training platforms. In an era of rapid technological advancement, robust hardware design is the critical enabler for safe and effective autonomous driving education and validation.

Detailed Topology Diagrams