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Electric vehicles are heavy because batteries are heavy. But building a lighter battery is no easy feat.

The transition from gasoline to electric vehicles will be a massive one in more than just a metaphorical sense. EVs have a weight problem — one that could undo some of the good created by going electric and exacerbate a bunch of cascading problems.
Electric vehicles are heavy because batteries are heavy. There’s just no way around it. The lithium-ion packs in EVs are the state of the art in modern battery technology and can store far more energy in a given amount of space compared to other rechargeable battery types such as nickel-cadmium. But their energy density still pales in comparison to gasoline. So, giving a car hundreds of miles of driving range means slinging a huge, heavy battery along the bottom of the vehicle.
A simple way to see the difference is between two versions of the same vehicle, one electric and one not. Depending on the various configurations, the Ford F-150 Lightning EV outweighs the gas-powered version of the pickup by at least 1,000 lbs., and sometimes closer to a full ton. Differences aren’t always so dramatic, but adding a giant battery, even when it means losing a bunch of internal combustion components, typically inflates weight.
Electrics are also heavy because all cars are heavy. The story of the last half-century of the auto industry is the death of smaller passenger cars, with consumer preference and regulatory loopholes having now led to the utter dominance of SUVs and trucks. In the EV market, smaller and lighter vehicles like the Tesla Model 3 and Chevy Bolt sold in decent numbers by hitting the market early and meeting the car-buyers who don’t want a giant ride. Now, though, the EV space is going the same way as gas. With American car-buyers willing to pay more for the crossovers and pickups they desire, automakers are moving away from less profitable modestly sized EVs in favor of crossovers and pickups.
It adds up to a lot of extra bulk rolling down the streets and highways. The most pressing danger from all these oversized electric vehicles is the threat they pose to anybody outside the car. The extra mass, combined with additional safety tech that can be built into places where engines and hoses used to go, means a big EV’s passengers are inside a fortress. It’s not such good news for pedestrians, cyclists, and occupants of any vehicle that’s not a multi-ton tank. Pedestrian deaths, which had been declining for years, began to climb again in 2010 and have reached their highest point in 40 years. It’s more difficult to see out of our increasingly huge vehicles, and when accidents happen, they are deadlier.
That’s not the only weighty concern. Over time, heavy vehicles cause more damage to roadways, bridges, and other driving infrastructure, and require them to need maintenance more often — causing even more of those pesky construction zones that slow highway traffic. At the same time, electric vehicles don’t pay for gasoline taxes that fund road maintenance, something economists are trying to solve, fast. EVs and other new vehicles are so hefty, Slate reports, that those auto-hauler semi-trucks — the ones you see on the interstate ferrying a bunch of cars to their new homes — can carry fewer cars at once because of overall limits on their cargo weight.
There is also the question of energy use. The relative fuel efficiency of electric cars is a rarely discussed part of the discourse about climate, cars, and energy. Perhaps that’s because EVs don’t come with a handy metric everyone is accustomed to, like miles per gallon (EVs can deliver an equivalent, or Mpg-e, but it’s a murky number that requires some math). Perhaps it’s because so few Americans drive electric — or because the focus, from a national perspective, has been on convincing as many people as possible to go electric, even if it means selling them a war machine like the GMC Hummer EV.
But not all electric cars are created equal. Using its imperfect data, the EPA rates a smaller electric sedan like the Tesla Model 3 at about 140 Mpg-E. For bigger SUVs, that figure falls under 100, and as low as the 60s for the Porsche Taycan or the fully loaded F-150 Lightning. That mark is still better than what you could get from an ordinary gas or hybrid car. However, it means you’re using roughly twice as much energy to run errands in an Audi E-Tron as in a Chevy Bolt. From a climate perspective, we’re giving away much of the good of transitioning to electric cars by selling bigger, bulkier, more inefficient ones.
It’s not clear there’s an immediate fix to this problem. Carmakers will sell what car shoppers want to buy. Most Americans clearly want big vehicles, and no amount of climate scolding will change that. To convince car buyers who are already wary of range anxiety to switch to electric, new vehicles need as much range as they can get — and that means packing as much battery as possible into the bottom of the car.
Are lighter EV batteries the solution, then? Well, lowering a car’s power-to-weight ratio has been an automotive obsession since the dawn of the industry, because getting more power from less weight makes a vehicle zoom-ier. As the industry transitions to electric power, lots of auto engineers are now focused on squeezing more juice out of batteries, while researchers like Kimberly See at Caltech experiment with new battery chemistries that could, one day, perhaps supplant the lithium-ion cells of today. [Editor’s note: Caltech is where I do my day job.]
It’s a tough problem, See told me. Some ideas for alternative battery chemistries potentially can store more energy per unit of mass, but their design is nascent compared to that of lithium-ion, which has been developed since the 1990s. Building an actual working battery always involves trade-offs between weight, safety, and power — and weight can’t always win.
“There are chemistries out there, like Li-S [lithium-sulfur], that would make packs much, much smaller,” See says. “But there are many fundamental science challenges.”
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It’s aware of the problem. That doesn’t make it easier to solve.
The data center backlash has metastasized into a full-blown PR crisis, one the tech sector is trying to get out in front of. But it is unclear whether companies are responding effectively enough to avoid a cascading series of local bans and restrictions nationwide.
Our numbers don’t lie: At least 25 data center projects were canceled last year, and nearly 100 projects faced at least some form of opposition, according to Heatmap Pro data. We’ve also recorded more than 60 towns, cities and counties that have enacted some form of moratorium or restrictive ordinance against data center development. We expect these numbers to rise throughout the year, and it won’t be long before the data on data center opposition is rivaling the figures on total wind or solar projects fought in the United States.
I spent this week reviewing the primary motivations for conflict in these numerous data center fights and speaking with representatives of the data center sector and relevant connected enterprises, like electrical manufacturing. I am now convinced that the industry knows it has a profound challenge on its hands. Folks are doing a lot to address it, from good-neighbor promises to lobbying efforts at the state and federal level. But much more work will need to be done to avoid repeating mistakes that have bedeviled other industries that face similar land use backlash cycles, such as fossil fuel extraction, mining, and renewable energy infrastructure development.
Two primary issues undergird the data center mega-backlash we’re seeing today: energy use fears and water consumption confusion.
Starting with energy, it’s important to say that data center development currently correlates with higher electricity rates in areas where projects are being built, but the industry challenges the presumption that it is solely responsible for that phenomenon. In the eyes of opponents, utilities are scrambling to construct new power supplies to meet projected increases in energy demand, and this in turn is sending bills higher.
That’s because, as I’ve previously explained, data centers are getting power in two ways: off the existing regional electric grid or from on-site generation, either from larger new facilities (like new gas plants or solar farms) or diesel generators for baseload, backup purposes. But building new power infrastructure on site takes time, and speed is the name of the game right now in the AI race, so many simply attach to the existing grid.
Areas with rising electricity bills are more likely to ban or restrict data center development. Let’s just take one example: Aurora, Illinois, a suburb of Chicago and the second most-populous city in the state. Aurora instituted a 180-day moratorium on data center development last fall after receiving numerous complaints about data centers from residents, including a litany related to electricity bills. More than 1.5 gigawatts of data center capacity already operate in the surrounding Kane County, where residential electricity rates are at a three-year high and expected to increase over the near term – contributing to a high risk of opposition against new projects.
The second trouble spot is water, which data centers need to cool down their servers. Project developers have face a huge hurdle in the form of viral stories of households near data centers who suddenly lack a drop to drink. Prominent examples activists bring up include this tale of a family living next to a Meta facility in Newton County, Georgia, and this narrative of people living around an Amazon Web Services center in St. Joseph County, Indiana. Unsurprisingly, the St. Joseph County Council rejected a new data center in response to, among other things, very vocal water concerns. (It’s worth noting that the actual harm caused to water systems by data centers is at times both over- and under-stated, depending on the facility and location.)
“I think it’s very important for the industry as a whole to be honest that living next to [a data center] is not an ideal situation,” said Caleb Max, CEO of the National Artificial Intelligence Association, a new D.C.-based trade group launched last year that represents Oracle and myriad AI companies.
Polling shows that data centers are less popular than the use of artificial intelligence overall, Max told me, so more needs to be done to communicate the benefits that come from their development – including empowering AI. “The best thing the industry could start to do is, for the people in these zip codes with the data centers, those people need to more tangibly feel the benefits of it.”
Many in the data center development space are responding quickly to these concerns. Companies are clearly trying to get out ahead on energy, with the biggest example arriving this week from Microsoft, which pledged to pay more for the electricity it uses to power its data centers. “It’s about balancing that demand and market with these concerns. That’s why you're seeing the industry lean in on these issues and more proactively communicating with communities,” said Dan Diorio, state policy director for the Data Center Coalition.
There’s also an effort underway to develop national guidance for data centers led by the National Electrical Manufacturers Association, the American Society of Heating, Refrigerating, and Air-Conditioning Engineers, and the Pacific Northwest National Laboratory, expected to surface publicly by this summer. Some of the guidance has already been published, such as this document on energy storage best practices, which is intended to help data centers know how to properly use solutions that can avoid diesel generators, an environmental concern in communities. But the guidance will ultimately include discussions of cooling, too, which can be a water-intensive practice.
“It’s a great example of an instance where industry is coming together and realizing there’s a need for guidance. There’s a very rapidly developing sector here that uses electricity in a fundamentally different way, that’s almost unprecedented,” Patrick Hughes, senior vice president of strategy, technical, and industry affairs for NEMA, told me in an interview Monday.
Personally, I’m unsure whether these voluntary efforts will be enough to assuage the concerns of local officials. It certainly isn’t convincing folks like Jon Green, a member of the Board of Supervisors in Johnson County, Iowa. Johnson County is a populous area, home to the University of Iowa campus, and Green told me that to date it hasn’t really gotten any interest from data center developers. But that didn’t stop the county from instituting a one-year moratorium in 2025 to block projects and give time for them to develop regulations.
I asked Green if there’s a form of responsible data center development. “I don’t know if there is, at least where they’re going to be economically feasible,” he told me. “If we say they’ve got to erect 40 wind turbines and 160 acres of solar in order to power a data center, I don’t know if when they do their cost analysis that it’ll pencil out.”
Plus a storage success near Springfield, Massachusetts, and more of the week’s biggest renewables fights.
1. Sacramento County, California – A large solar farm might go belly-up thanks to a fickle utility and fears of damage to old growth trees.
2. Hampden County, Massachusetts – The small Commonwealth city of Agawam, just outside of Springfield, is the latest site of a Massachusetts uproar over battery storage…
3. Washtenaw County, Michigan – The city of Saline southwest of Detroit is now banning data centers for at least a year – and also drafting regulations around renewable energy.
4. Dane County, Wisconsin – Another city with a fresh data center moratorium this week: Madison, home of the Wisconsin Badgers.
5. Hood County, Texas – Last but not least, I bring you one final stop on the apparent data center damnation tour: Hood County, south of the Texas city of Fort Worth.
A conversation with San Jose State University researcher Ivan Aiello, who’s been studying the aftermath of the catastrophe at Moss Landing.
This week’s conversation is with Ivano Aiello, a geoscientist at San Jose State University in California. I interviewed Aiello a year ago, when I began investigating the potential harm caused by the battery fire at Vistra’s Moss Landing facility, perhaps the largest battery storage fire of all time. The now-closed battery plant is located near the university, and Aiello happened to be studying a nearby estuary and wildlife habitat when the fire took place. He was therefore able to closely track metals contamination from the site. When we last spoke, he told me that he was working on a comprehensive, peer-reviewed study of the impacts of the fire.
That research was recently published and has a crucial lesson: We might not be tracking the environmental impacts of battery storage fires properly.
The following conversation was lightly edited for clarity.
Alright let’s start from the top – please tell my readers what your study ultimately found.
The bottom line is that we detected deposition of fine airborne particles, cathode material – nickel, manganese, and cobalt – in the area surrounding the battery storage facility. We found those particles right after the fire, immediately detected them in the field, sampled the soils, and found visible presence of those particles using different techniques. We kept measuring the location in the field over several months after the fire.
The critical thing is, we had baseline data. We had been surveying those areas for much longer before the fire. Those metals were in much higher concentration than they were before, and they were clearly related to the batteries. You can see that. And we were able to see changes in surface concentrations in the soils over time, including from weather – once the rains started, there was a significant decrease in concentrations of the metals, potentially related to runoff. Some of them migrated to the soil.
What we also noticed is that the protocols that have been used to look at soil contamination call for a surface sample of 3 inches. If your sample thickness is that and the layer of metal deposit is 1 millimeter or 5 millimeter, you’re not going to see anything. If you use standard protocols, you’re not going to find anything.
What does that mean for testing areas around big battery storage fires?
That’s exactly what I hope this work helps with. Procedures designed in the past are for different types of disasters and incidents which are more like landslides than ash fallout from a fire. These metal particles are a few microns thick, so they slide easily away.
It means we have to rethink how we go about measuring contamination after industrial fires and, yes, battery fires. Because otherwise it’s just completely useless – you’re diluting everything.
The other thing we learned is that ashfall deposits are very patchy. You can get different samples between a few feet and find huge differences. You can’t just go out there and take three samples in three places, you have to sample at a much higher resolution because otherwise you’ll miss the whole story.
When it comes to the takeaways from this study, what exactly do you think the lessons should be for the battery companies and regulators involved?
There are a lot of lessons we learned from this fire. The first is that having baseline data around a potential fire site is important because then you can better understand the after.
Then, the main way to assess the potential hazards during the fire and after the fire are air quality measurements. That doesn’t tell you what’s in the air. You could have a high concentration of pollen, and then you know the quality of the air, but if you replace that with metal it is different. It’s not just how much you’re breathing, but what you are breathing.
Also, fast response. [Vistra] just released a report on soil saying there was nothing … but the sampling was done eight months after the fire. Our study shows after the fire you have this pulse of dust, and then it moves. Stuff moves to soil, across habitat. So if you don’t go out there right away, you might miss the whole thing.
Finally, what we found was that the fallout from the fire was not a bullseye pattern centered at the facility but rather offset kilometers away because of the wind.
We didn’t know much about this before because we didn’t have a real case study. This is the first real live event in which we can actually see the effects of a large battery burning.