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Tesla’s approach to battery technology keeps it ahead in the EV industry
Tesla’s dominance in the growing electric vehicle (EV) industry is largely attributed to its unique approach to its battery technology. The engineering behind the all-electric car maker’s cylindrical cells speaks for itself in terms of the performance and range achieved, but in a recent interview with a battery technology researcher, a few things detailed about Tesla’s batteries stood out in particular.
Ravindra Kempaiah is a Ph.D. scholar at the University of Illinois Chicago focusing on advanced battery materials for his thesis. In his interview with Tesla owner and host of All Things EV, Sean Mitchell, Kempaiah explained lithium-ion technology in EVs and the primary issues faced in their development. Overall, the biggest challenge is balancing the three main components in battery production: energy density, cost, and cycle life. Increasing one area will significantly impact the other, and the ideal equation is always being sought after. For example, if you increase energy density for higher range and lower cost, the cycle life takes a major hit. If you increase density and life cycle, the battery alone can cost as much as $100k, as described by Kempaiah.
“We always want more range. We always want higher cycle life. We want our batteries to last 15-20 years and the car to go 500 miles, but this is a problem every battery scientist has faced for the last 30 years,” Kempaiah commented in the interview.
Tesla deals with the same balancing act as other battery-electric car makers; however, there are key factors which seem to have kept the company ahead in the industry.
First, Tesla’s choice of cylindrical cells sets it apart from every other electric vehicle on the market. This provides several advantages that drive performance, flexibility, and cost control. Notably, Rivian is also using cylindrical cells, although their vehicles are not yet under production.
Out of the three types of cells available (cylindrical, prismatic, and pouch cells), cylindrical is the most cost-effective to produce. Namely, the cost per kWh is lower in cylindrical cells versus other types. The metallic jacket around the 18650 and 2170 cylindrical cells used in the Tesla Model S/X and Model 3, respectively, acts as scaffolding and provides structural rigidity to the battery. Additionally, in high powered situations, current draw and distribution of power is over the entirety of the battery pack instead of concentrated in a certain section, according to Kempaiah.
Second, Tesla uses a liquid-cooled thermal management system to manage battery temperatures whereas other automakers take a more economical air cooling approach. By adjusting the temperature of the battery pack, Tesla is able to ensure that cells are operating in their most efficient and optimal states, thereby maximizing battery longevity as well as performance. While reducing cost is an important factor in accelerating the growth of the electric vehicle market, Tesla’s investment in thermal management technology provides an upside for owners who may be looking for longevity and long-term affordability of their cars.
Third, Tesla has actively sought to limit the amount of cobalt it uses in its batteries and already uses less of the element than other companies in the Model 3 batteries. The scarcity of cobalt and its mining sources have subjected it to socioeconomic situations that are more than problematic in the United States, i.e., child labor and similar abuses are widespread in its sourcing. With this in mind, Tesla has been working on the question, “Is cobalt really needed?”
Cobalt is used as a cathode in battery technology, and out of all cathode materials available, it has the highest cost both fiscally and politically. Current consensus on battery technology says that without cobalt, the structural integrity and cycle life in batteries is compromised, as described in the interview. However, some recent scientific literature was cited by Kempaiah that indicated higher nickel content limited the impact of cobalt on batteries, possibly removing the need to use it at all. Nickel is more widely available across the globe, which keeps its cost down and mitigates the socioeconomic impacts often associated with resource mining operations. Overall, the discussion between Mitchell and Kempaiah indicated that Tesla can probably go cobalt-free soon, making it less vulnerable to the cobalt industry.
Finally, Tesla takes great care to educate its customers about proper battery maintenance, especially with regard to the negative impact of bad charging habits. Specifically, keeping an electric car battery charged at 100% for long periods degrades the battery very quickly, while keeping charging states within an optimal range will give it a long life. Tesla makes it a point to communicate to customers the importance of battery health on their overall ownership experience and value of their purchase.
When asked for his opinion by Mitchell, Kempaiah attributed the lack of education by other brands as a disconnect between engineering teams and marketing teams. While battery “best practices” are provided to EV customers by all manufacturers, the importance of communicating the true impact of bad charging habits may not be emphasized enough to be included as prominently as it should.
In summary, Tesla is constantly developing the technology in its vehicles, and its particular attention to its batteries looks to have given the company a significant advantage over its competitors. Perhaps other automakers will take a few tips from Tesla in the future, even if it’s as limited as improving communications with customers.
Watch Sean Mitchell’s full interview with Ravindra Kempaiah below:
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
