A more apt comparison might be our Model S Plaid (1020 hp) to our Lucid Air Dream Performance (1111 hp), both on 21" wheels. At a sustained 80 mph (on cruise control) with multiple tests in near-identical conditions (same highway, dry weather in mid-80s, light traffic, and looped laps), our Air gets anywhere between 76-79% of its rated range, and our Plaid gets 72-74% of its rated range.
Leaving efficiency aside and given that the Plaid's rated range is 348 miles and the Air's is 451 miles, that translates to more than 100 extra miles of real-world road tripping range in the Air in the conditions stated.
In short, our Air Dream P beats the Plaid in efficiency and trounces it in actual range.
First, thank you for sharing your Lucid/Tesla efficiency comparisons, very informative.
To broad-stroke it, both Lucid and Tesla rely on the less stringent EPA cycles to maximize their efficiency/range claims and, to a first order, have similar deviations when compared to "real-life" realizable ranges. That's to be expected.
As others have pointed out, even ICE cars deviate from their claimed efficiency and range.
In contrast, other EVs, notably the German EVs are much closer to their claimed efficiency and range. They often do better than their claims. To me, that's a better path.
I have been a long time EV advocate. In 1992, I relocated from Oregon to Arizona. Some of you might remember GM had (still has?) a test track in the Phoenix area. GM had electric cars (EV1) under test in AZ back then (1990s). You couldn't buy one, but you can lease one as part of the test program. There were several testers in my neighborhood. I wanted an electric car since. Truth in advertising....those early GM cars has very limited range (I think about 50-60 miles). But GM fooled around with a bunch of interesting ideas including wireless charging etc..
When I remodeled my house in AZ in 1998, I installed the necessary electrical infrastructure for multiple electric cars. I facilitated multiple drops for NEMA outlets and installed solar to have a zero electric bill. I was ready for EVs. But EVs were not ready for me.....I looked and looked, but there weren't anything worth buying, including Tesla. I finally bought a PHEV (Honda Clarity) in 2019. It was (still is, my son owns it now) a great car!
When the Lucid came along, I had a second home in the LA area as my son was enrolled in USC. The "commute" distance was almost exactly 400 miles, door-to-door. So, I thought the Lucid AGT (rated @516 miles range) will get me there without stopping to charge, even with some derating. Well, the AGT was never able to make that trip on the I-10 without stopping to charge!
I understand the nuances about the speed vs drag/efficiency, temperature, elevation change, etc. etc.. Nevertheless, I think you will agree that EVs are much more susceptible to some of these factors than ICE cars, especially temperature and elevation transitions.
As you've seen from many new EV/Lucid owners, they were surprised by the MAGNITUDE of the deviation in the achievable range. If you add up the highway speed, temperature, elevation deficits, it can be as much as a 50% range haircut (or more) on the claimed EV's range if you live in cold climates and drive fast with the heater on. To many, this is a shocker!
Inasmuch as we think we could, we are not going to change physics!
Hence, I think realistic specifications, education, careful planning, and informed metrologies are keys to EV ownership.
A large part of my beef with the unrealistic (note, I said unrealistic, I didn't say unachievable) EPA benchmarks used by Lucid and Tesla is because they are counter-productive. As evidenced by other EV manufacturers, choosing a more realistic EPA test cycle can better inform the EV owners.
At the risk of repeating my self and other owner's inputs, without changing physics (and win a Nobel Prize), the next best thing is to be informed about physics and how we manage/ mitigate range anxiety.
Simplistically, the notion of [1] the Remaining miles/SoC upon arrival AND [2] the "Real-Time" Efficiency Gauge (as implemented on the Rivian/Tesla). These metrologies inform the driver and enable the driver to make the necessary adjustments to manage range-anxiety.
Implementing these metrologies should be trivial. All the data is already there.