IndyCar

200-mph-for-500-miles:-how-indycar-drivers-prepare-for-the-big-race

200 mph for 500 miles: How IndyCar drivers prepare for the big race


Andretti Global’s Kyle Kirkwood and Marcus Ericsson talk to us about the Indy 500.

INDIANAPOLIS, INDIANA - MAY 15: #28, Marcus Ericsson, Andretti Global Honda prior to the NTT IndyCar Series 109th Running of the Indianapolis 500 at Indianapolis Motor Speedway on May 15, 2025 in Indianapolis, Indiana.

#28, Marcus Ericsson, Andretti Global Honda prior to the NTT IndyCar Series 109th Running of the Indianapolis 500 at Indianapolis Motor Speedway on May 15, 2025 in Indianapolis, Indiana. Credit: Brandon Badraoui/Lumen via Getty Images

#28, Marcus Ericsson, Andretti Global Honda prior to the NTT IndyCar Series 109th Running of the Indianapolis 500 at Indianapolis Motor Speedway on May 15, 2025 in Indianapolis, Indiana. Credit: Brandon Badraoui/Lumen via Getty Images

This coming weekend is a special one for most motorsport fans. There are Formula 1 races in Monaco and NASCAR races in Charlotte. And arguably towering over them both is the Indianapolis 500, being held this year for the 109th time. America’s oldest race is also one of its toughest: The track may have just four turns, but the cars negotiate them going three times faster than you drive on the highway, inches from the wall. For hours. At least at Le Mans, you have more than one driver per car.

This year’s race promises to be an exciting one. The track is sold out for the first time since the centenary race in 2016. A rookie driver and a team new to the series took pole position. Two very fast cars are starting at the back thanks to another conflict-of-interest scandal involving Team Penske, the second in two years for a team whose owner also owns the track and the series. And the cars are trickier to drive than they have been for many years, thanks to a new supercapacitor-based hybrid system that has added more than 100 lbs to the rear of the car, shifting the weight distribution further back.

Ahead of Sunday’s race, I spoke with a couple of IndyCar drivers and some engineers to get a better sense of how they prepare and what to expect.

INDIANAPOLIS, INDIANA - MAY 17: #28, Marcus Ericsson, Andretti Global Honda during qualifying for the NTT IndyCar Series 109th Running of the Indianapolis 500 at Indianapolis Motor Speedway on May 17, 2025 in Indianapolis, Indiana.

This year, the cars are harder to drive thanks to a hybrid system that has altered the weight balance. Credit: Geoff MIller/Lumen via Getty Images

Concentrate

It all comes “from months of preparation,” said Marcus Ericsson, winner of the race in 2022 and one of Andretti Global’s drivers in this year’s event. “When we get here to the month of May, it’s just such a busy month. So you’ve got to be prepared mentally—and basically before you get to the month of May because if you start doing it now, it’s too late,” he told me.

The drivers spend all month at the track, with a race on the road course earlier this month. Then there’s testing on the historic oval, followed by qualifying last weekend and the race this coming Sunday. “So all those hours you put in in the winter, really, and leading up here to the month of May—it’s what pays off now,” Ericsson said. That work involved multiple sessions of physical training each week, and Ericsson says he also does weekly mental coaching sessions.

“This is a mental challenge,” Ericsson told me. “Doing those speeds with our cars, you can’t really afford to have a split second of loss of concentration because then you might be in the wall and your day is over and you might hurt yourself.”

When drivers get tired or their focus slips, that’s when mistakes happen, and a mistake at Indy often has consequences.

A racing driver stands in front of four mechanics, who are facing away from him. The mechanics have QR codes on the back of their shirts.

Ericsson is sponsored by the antihistamine Allegra and its anti-drowsy-driving campaign. Fans can scan the QR codes on the back of his pit crew’s shirts for a “gamified experience.” Credit: Andretti Global/Allegra

Simulate

Being mentally and physically prepared is part of it. It also helps if you can roll the race car off the transporter and onto the track with a setup that works rather than spending the month chasing the right combination of dampers, springs, wing angles, and so on. And these days, that means a lot of simulation testing.

The multi-axis driver in the loop simulators might look like just a very expensive video game, but these multimillion-dollar setups aren’t about having fun. “Everything that you are feeling or changing in the sim is ultimately going to reflect directly to what happens on track,” explained Kyle Kirkwood, teammate to Ericsson at Andretti Global and one of only two drivers to have won an Indycar race in 2025.

Andretti, like the other teams using Honda engines, uses the new HRC simulator in Indiana. “And yes, it’s a very expensive asset, but it’s also likely cheaper than going to the track and doing the real thing,” Kirkwood said. “And it’s a much more controlled environment than being at the track because temperature changes or track conditions or wind direction play a huge factor with our car.”

A high degree of correlation between the simulation and the track is what makes it a powerful tool. “We run through a sim, and you only get so many opportunities, especially at a place like Indianapolis, where you go from one day to the next and the temperature swings, or the wind conditions, or whatever might change drastically,” Kirkwood said. “You have to be able to sim it and be confident with the sim that you’re running to go out there and have a similar balance or a similar performance.”

Kyle Kirkwood's indycar drives past the IMS logo on one of the track walls.

Andretti Global’s Kyle Kirkwood is the only driver other than Álex Palou to have won an IndyCar race in 2025. Credit: Alison Arena/Andretti Global

“So you have to make adjustments, whether it’s a spring rate, whether it’s keel ballast or just overall, maybe center of pressure, something like that,” Kirkwood said. “You have to be able to adjust to it. And that’s where the sim tool comes in play. You move the weight balance back, and you’re like, OK, now what happens with the balance? How do I tune that back in? And you run that all through the sim, and for us, it’s been mirror-perfect going to the track when we do that.”

More impressively, a lot of that work was done months ago. “I would say most of it, we got through it before the start of this season,” Kirkwood said. “Once we get into the season, we only get a select few days because every Honda team has to run on the same simulator. Of course, it’s different with the engineering sim; those are running nonstop.”

Sims are for engineers, too

An IndyCar team is more than just its drivers—”the spacer between the seat and the wheel,” according to Kirkwood—and the engineers rely heavily on sim work now that real-world testing is so highly restricted. And they use a lot more than just driver-in-the-loop (DiL).

“Digital simulation probably goes to a higher level,” explained Scott Graves, engineering manager at Andretti Global. “A lot of the models we develop work in the DiL as well as our other digital tools. We try to develop universal models, whether that’s tire models, engine models, or transmission models.”

“Once you get into to a fully digital model, then I think your optimization process starts kicking in,” Graves said. “You’re not just changing the setting and running a pretend lap with a driver holding a wheel. You’re able to run through numerous settings and optimization routines and step through a massive number of permutations on a car. Obviously, you’re looking for better lap times, but you’re also looking for fuel efficiency and a lot of other parameters that go into crossing the finish line first.”

A screenshot of a finite element analysis tool

Parts like this anti-roll bar are simulated thousands of times. Credit: Siemens/Andretti Global

As an example, Graves points to the dampers. “The shock absorber is a perfect example where that’s a highly sophisticated piece of equipment on the car and it’s very open for team development. So our cars have fully customized designs there that are optimized for how we run the car, and they may not be good on another team’s car because we’re so honed in on what we’re doing with the car,” he said.

“The more accurate a digital twin is, the more we are able to use that digital twin to predict the performance of the car,” said David Taylor, VP of industry strategy at Siemens DISW, which has partnered with Andretti for some years now. “It will never be as complete and accurate as we want it to be. So it’s a continuous pursuit, and we keep adding technology to our portfolio and acquiring companies to try to provide more and more tools to people like Scott so they can more accurately predict that performance.”

What to expect on Sunday?

Kirkwood was bullish about his chances despite starting relatively deep in the field, qualifying in 23rd place. “We’ve been phenomenal in race trim and qualifying,” he said. “We had a bit of a head-scratcher if I’m being honest—I thought we would definitely be a top-six contender, if not a front row contender, and it just didn’t pan out that way on Saturday qualifying.”

“But we rolled back out on Monday—the car was phenomenal. Once again, we feel very, very racy in traffic, which is a completely different animal than running qualifying,” Kirkwood said. “So I’m happy with it. I think our chances are good. We’re starting deep in the field, but so are a lot of other drivers. So you can expect a handful of us to move forward.”

The more nervous hybrid IndyCars with their more rearward weight bias will probably result in more cautions, according to Ericsson, who will line up sixth for the start of the race on Sunday.

“Whereas in previous years you could have a bit of a moment and it would scare you, you usually get away with it,” he said. “This year, if you have a moment, it usually ends up with you being in the fence. I think that’s why we’ve seen so many crashes this year—because a pendulum effect from the rear of the car that when you start losing it, this is very, very difficult or almost impossible to catch.”

“I think it’s going to mean that the race is going to be quite a few incidents with people making mistakes,” Ericsson said. “In practice, if your car is not behaving well, you bring it to the pit lane, right? You can do adjustments, whereas in the race, you have to just tough it out until the next pit stop and then make some small adjustments. So if you have a bad car at the start a race, it’s going to be a tough one. So I think it’s going to be a very dramatic and entertaining race.”

Photo of Jonathan M. Gitlin

Jonathan is the Automotive Editor at Ars Technica. He has a BSc and PhD in Pharmacology. In 2014 he decided to indulge his lifelong passion for the car by leaving the National Human Genome Research Institute and launching Ars Technica’s automotive coverage. He lives in Washington, DC.

200 mph for 500 miles: How IndyCar drivers prepare for the big race Read More »

nascar,-imsa,-indycar,-f1:-gm’s-motorsport-boss-explains-why-it-goes-racing

NASCAR, IMSA, IndyCar, F1: GM’s motorsport boss explains why it goes racing

The late Richard Parry-Jones, who rose to CTO over at rival Ford, had a similar take: vehicle dynamics matter.

“There are people that think no one can tell the difference, you know, and I’ve always said they absolutely can tell the difference. They don’t know what it is. And the structural feel of the car going down the road, you know, people might explain, ‘It feels like a vault.’ Well, I can tell you exactly what’s going on, physically, from the parts and the tuning, and it’s an outcome that we strive for,” Morris said.

Does it need to be electrified?

The addition of electrified powertrains has certainly been one of the biggest trends in motorsport over the past decade or so. Since F1 made hybrids mandatory in 2014, we’ve also seen hybridization come to IMSA and WEC’s prototypes, and most recently, IndyCar added a supercapacitor-based system. But it hasn’t been a one-way street; this year, both the World Rally Championship and the British Touring Car Championship have abandoned the hybrid systems they adopted just a few years ago.

Win on Sunday, sell on Monday, like concrete tech transfer, is much less of a thing in the early 21st century, but marketing remains a central reason for OEM involvement in the sport. I asked Morris if Cadillac would be endurance racing with the V-Series R if the LMdh ruleset didn’t require a hybrid system.

“I think it’s an interesting discussion because you know, current EVs—the development [needed] where you can really do lapping at the Nürburgring or lapping full laps and not one hot lap, then you’re done, there’s just going to have to be development, development iteration, iteration, and that’s what racing is,” Morris said.

While the mechanical specifications of the hybrid Cadillac (and its rivals) are locked down, software development is unfettered, and Morris is not the first competitor to tell me how important that development path is now. Battery cell chemistries and battery cooling are also very active research areas and will only get more important once Cadillac enters F1. At first, that will be with Ferrari engines in the back, but starting in 2029, the Cadillac team will use a powertrain designed in-house.

NASCAR, IMSA, IndyCar, F1: GM’s motorsport boss explains why it goes racing Read More »

ai-and-ml-enter-motorsports:-how-gm-is-using-them-to-win-more-races

AI and ML enter motorsports: How GM is using them to win more races

not LLM or generative AI —

From modeling tire wear and fuel use to predicting cautions based on radio traffic.

SAO PAULO, BRAZIL - JULY 13: The #02 Cadillac Racing Cadillac V-Series.R of Earl Bamber, and Alex Lynn in action ahead of the Six Hours of Sao Paulo at the Autodromo de Interlagos on July 13, 2024 in Sao Paulo, Brazil.

Enlarge / The Cadillac V-Series.R is one of General Motors’ factory-backed racing programs.

James Moy Photography/Getty Images

It is hard to escape the feeling that a few too many businesses are jumping on the AI hype train because it’s hype-y, rather than because AI offers an underlying benefit to their operation. So I will admit to a little inherent skepticism, and perhaps a touch of morbid curiosity, when General Motors got in touch wanting to show off some of the new AI/machine learning tools it has been using to win more races in NASCAR, sportscar racing, and IndyCar. As it turns out, that skepticism was misplaced.

GM has fingers in a lot of motorsport pies, but there are four top-level programs it really, really cares about. Number one for an American automaker is NASCAR—still the king of motorsport here—where Chevrolet supplies engines to six Cup teams. IndyCar, which could once boast of being America’s favorite racing, is home to another six Chevy-powered teams. And then there’s sportscar racing; right now, Cadillac is competing in IMSA’s GTP class and the World Endurance Championship’s Hypercar class, plus a factory Corvette Racing effort in IMSA.

“In all the series we race we either have key partners or specific teams that run our cars. And part of the technical support that they get from us are the capabilities of my team,” said Jonathan Bolenbaugh, motorsports analytics leader at GM, based at GM’s Charlotte Technical Center in North Carolina.

Unlike generative AI that’s being developed to displace humans from creative activities, GM sees the role of AI and ML as supporting human subject-matter experts so they can make the cars go faster. And it’s using these tools in a variety of applications.

One of GM's command centers at its Charlotte Technical Center in North Carolina.

Enlarge / One of GM’s command centers at its Charlotte Technical Center in North Carolina.

General Motors

Each team in each of those various series (obviously) has people on the ground at each race, and invariably more engineers and strategists helping them from Indianapolis, Charlotte, or wherever it is that the particular race team has its home base. But they’ll also be tied in with a team from GM Motorsport, working from one of a number of command centers at its Charlotte Technical Center.

What did they say?

Connecting all three are streams and streams of data from the cars themselves (in series that allow car-to-pit telemetry) but also voice comms, text-based messaging, timing and scoring data from officials, trackside photographs, and more. And one thing Bolenbaugh’s team and their suite of tools can do is help make sense of that data quickly enough for it to be actionable.

“In a series like F1, a lot of teams will have students who are potentially newer members of the team literally listening to the radio and typing out what is happening, then saying, ‘hey, this is about pitting. This is about track conditions,'” Bolenbaugh said.

Instead of giving that to the internship kids, GM built a real time audio transcription tool to do that job. After trying out a commercial off-the-shelf solution, it decided to build its own, “a combination of open source and some of our proprietary code,” Bolenbaugh said. As anyone who has ever been to a race track can attest, it’s a loud environment, so GM had to train models with all the background noise present.

“We’ve been able to really improve our accuracy and usability of the tool to the point where some of the manual support for that capability is now dwindling,” he said, with the benefit that it frees up the humans, who would otherwise be transcribing, to apply their brains in more useful ways.

Take a look at this

Another tool developed by Bolenbaugh and his team was built to quickly analyze images taken by trackside photographers working for the teams and OEMs. While some of the footage they shoot might be for marketing or PR, a lot of it is for the engineers.

Two years ago, getting those photos from the photographer’s camera to the team was the work of two to three minutes. Now, “from shutter click at the racetrack in a NASCAR event to AI-tagged into an application for us to get information out of those photos is seven seconds,” Bolenbaugh said.

Sometimes you don't need a ML tool to analyze a photo to tell you the car is damaged.

Enlarge / Sometimes you don’t need a ML tool to analyze a photo to tell you the car is damaged.

Jeffrey Vest/Icon Sportswire via Getty Images

“Time is everything, and the shortest lap time that we run—the Coliseum would be an outlier, but maybe like 18 seconds is probably a short lap time. So we need to be faster than from when they pass that pit lane entry to when they come back again,” he said.

At the rollout of this particular tool at a NASCAR race last year, one of GM’s partner teams was able to avoid a cautionary pitstop after its driver scraped the wall, when the young engineer who developed the tool was able to show them a seconds-old photo of the right side of the car that showed it had escaped any damage.

“They didn’t have to wait for a spotter to look, they didn’t have to wait for the driver’s opinion. They knew that didn’t have damage. That team made the playoffs in that series by four points, so in the event that they would have pitted, there’s a likelihood where they didn’t make it,” he said. In cases where a car is damaged, the image analysis tool can automatically flag that and make that known quickly through an alert.

Not all of the images are used for snap decisions like that—engineers can glean a lot about their rivals from photos, too.

“We would be very interested in things related to the geometry of the car for the setup settings—wicker settings, wing angles… ride heights of the car, how close the car is to the ground—those are all things that would be great to know from an engineering standpoint, and those would be objectives that we would have in doing image analysis,” said Patrick Canupp, director of motorsports competition engineering at GM.

Many of the photographers you see working trackside will be shooting on behalf of teams or manufacturers.

Enlarge / Many of the photographers you see working trackside will be shooting on behalf of teams or manufacturers.

Steve Russell/Toronto Star via Getty Images

“It’s not straightforward to take a set of still images and determine a lot of engineering information from those. And so we’re working on that actively to help with all the photos that come in to us on a race weekend—there’s thousands of them. And so it’s a lot of information that we have at our access, that we want to try to maximize the engineering information that we glean from all of that data. It’s kind of a big data problem that AI is really geared for,” Canupp said.

The computer says we should pit now

Remember that transcribed audio feed from earlier? “If a bunch of drivers are starting to talk about something similar in the race like the track condition, we can start inferring, based on… the occurrence of certain words, that the track is changing,” said Bolenbaugh. “It might not just be your car… if drivers are talking about something on track, the likelihood of a caution, which is a part of our strategy model, might be going up.”

That feeds into a strategy tool that also takes lap times from timing and scoring, as well as fuel efficiency data in racing series that provide it for all cars, or a predictive model to do the same in series like NASCAR and IndyCar where teams don’t get to see that kind of data from their competitors, as well as models of tire wear.

“One of the biggest things that we need to manage is tires, fuel, and lap time. Everything is a trade-off between trying to execute the race the fastest,” Bolenbaugh said.

Obviously races are dynamic situations, and so “multiple times a lap as the scenario changes, we’re updating our recommendation. So, with tire fall off [as the tire wears and loses grip], you’re following up in real time, predicting where it’s going to be. We are constantly evolving during the race and doing transfer learning so we go into the weekend, as the race unfolds, continuing to train models in real time,” Bolenbaugh said.

AI and ML enter motorsports: How GM is using them to win more races Read More »