0
0
Signal-processingConceptBeginner · 4 min read

Torque Vectoring in EV: How It Works and When to Use

Torque vectoring in an electric vehicle (EV) is a technology that controls the power sent to each wheel independently to improve handling and stability. It adjusts torque dynamically to help the vehicle turn better and maintain traction, especially in slippery or sharp cornering conditions.
⚙️

How It Works

Torque vectoring works by distributing the electric motor's power to each wheel based on driving conditions. Imagine you are riding a bike and want to turn sharply; you naturally push harder on one pedal to help the turn. Torque vectoring does something similar but with the car's wheels, sending more power to the outer wheels during a turn to help the vehicle rotate smoothly.

In an EV, this is easier to do because electric motors can quickly and precisely control torque at each wheel. Sensors detect steering angle, speed, and wheel slip, and the system adjusts torque in real time. This helps the car stay stable, improves cornering, and can even enhance acceleration by preventing wheel spin.

💻

Example

This simple Python example simulates torque vectoring by adjusting torque values for left and right wheels based on a steering input.

python
def torque_vectoring(steering_angle, base_torque):
    # Positive steering_angle means turning right
    if steering_angle > 0:
        left_wheel_torque = base_torque * (1 + steering_angle / 30)
        right_wheel_torque = base_torque * (1 - steering_angle / 30)
    elif steering_angle < 0:
        left_wheel_torque = base_torque * (1 + steering_angle / 30)
        right_wheel_torque = base_torque * (1 - steering_angle / 30)
    else:
        left_wheel_torque = right_wheel_torque = base_torque
    return left_wheel_torque, right_wheel_torque

# Example usage
steering = 15  # turning right moderately
base = 100     # base torque units
left_torque, right_torque = torque_vectoring(steering, base)
print(f"Left wheel torque: {left_torque:.2f}")
print(f"Right wheel torque: {right_torque:.2f}")
Output
Left wheel torque: 150.00 Right wheel torque: 50.00
🎯

When to Use

Torque vectoring is especially useful in electric vehicles for improving safety and driving performance. It helps when driving on slippery roads like ice or rain by preventing wheels from slipping. It also enhances cornering by sending more power to the wheels that need it, making turns smoother and more controlled.

Sports EVs use torque vectoring to improve agility and acceleration out of corners. Family EVs benefit from it by increasing stability and confidence in everyday driving. Overall, it is a key feature for any EV aiming for better handling and safety.

Key Points

  • Torque vectoring controls power to each wheel independently.
  • It improves handling, stability, and traction in EVs.
  • Works best during turns and slippery conditions.
  • Electric motors enable fast and precise torque adjustments.
  • Used in both performance and everyday electric vehicles.

Key Takeaways

Torque vectoring improves EV handling by adjusting power to each wheel independently.
It enhances safety and performance during turns and on slippery roads.
Electric motors in EVs allow quick and precise torque control for this feature.
Sports and family EVs both benefit from torque vectoring technology.
This system helps maintain traction and vehicle stability in real time.