It's really smart though: Why spend a lot of energy moving the wheel up and down, when you can just control the damper and rely the spring to store energy.
It's easy to underestimate just how slow digital systems are in many real time scenarios compared to analog systems.
Consider it in the context of camera based self-driving cars, it's tangential to this discussion but it's an easy to visualize metaphor:
- A car traveling 60mph is traveling at 88 feet per second
- Assuming a 60hz camera, there would be a 16.67 ms gap between each frame
- The car is traveling 1.5 feet between each frame interval
- A certain amount of exposure time is necessary for the camera to generate even 1 frame or it will be blurry
- High framerate cameras often work around this by staggering/interlacing multiple sensors, but doing this implicitly increases the latency of each frame
- A 120hz camera might deliver double the frames per second, but each frame could be arriving 4 frames late in exchange
- 4 frames would be imperceptible to humans, it would be 3 feet for the car
- You haven't even processed any of these frames yet.
- Your off the shelf library introduces a random 1 second delay for some reason and costs you 88 miles in processing time
- The car can drive as fast as 120mph
All digital sensors implicitly have a sampling frequency, and the fundamental disconnect is always high sampling frequency =/= low latency. People constantly make this mistake over and over, and by the time you notice you are already too deep into development to make a change.
Decreasing latency is expensive, and requires specialized knowledge. Often you get expert software engineers who end up bottlenecked by the hardware limitations they can't even comprehend or the reverse, hardware guys bottlenecked by the software they can't introspect. The latency is only truly understood when you get to integration testing.
Nearly every step of the way you discover you need specialized hardware, software, operating systems, sensors. Every part of the chain each costing you more latency. It's like it's own ecosystem where almost everyone writes everything from scratch and doesn't share anything. It's gotten better in recent years though.
Full disclosure: I work in medtech and don't actually deal with cars, but it's a very similar problem space. We often use the same hardware/software cars use for this reason.
Precision, repeatability, responsiveness.
It's not the same.
For a simple example, let's say you are simply driving in a circle. The car wants to lean toward the outside. The linear motors can provide a countering force, lifting the outside, lowering the inside, so the car stays level. Variable damping can only control the rate that it rolls. It will still roll in sub-second timescales, unless it completely locks down the suspension, which is terrible for both handling and comfort.
For another simple example: going over a speed bump. Linear motors can lift the front wheels over the bump, and then the rear wheels, so the body stays level the whole time. An active damper can go full-soft the moment the wheel hits the bump, but the compressed spring will still start lifting the front of the car. An active damper can do a better job managing the rebound on the far side so it doesn't oscillate, but it can't entirely prevent the bump from pitching the body up and down in the first place.
That's not to say it's worthless. Very fast active dampers can improve both handling and comfort. It's just nowhere near the level which is possible with linear motors.