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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:
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
