A newly published patent from Tesla aims to bring the company’s idea for a one-million mile battery to life by using numerous electrolyte additives to increase the longevity and performance of its lithium-ion cells.
Tesla submitted the patent for “Dioxazolones and Nitrile Sulfites as Electrolyte Additives for Lithium-Ion Batteries” in August 2018. The patent is focused on improving the company’s rechargeable battery systems by adjusting the cells’ chemistry.
The patent claims that the addition of electrolyte additives, like lithium salt, can drastically improve the longevity and performance of battery systems when combined with a nonaqueous solution. A nonaqueous solution does not include water as the solvent, but rather another liquid.
The patent states:
Electrolyte additives have been shown to be operative and increase the lifetime and performance of Li-ion-based batteries… To further progress the adoption of electric vehicles and grid energy storage applications, it is desirable to develop lithium-ion cell chemistries that offer longer lifetimes at high temperatures and high cell voltages, without significantly increasing cost. The introduction of sacrificial electrolyte additives on the order of a few weight percent is a practical method to form protective solid-electrolyte interphase (SEI) layers that limit electrolyte decomposition during cell storage and operation. In recent years, significant efforts have yielded a large number of such additives that may be used to improve cell performance for various applications. Examples are vinylene carbonate (VC), fluoroethylene carbonate (FEC), prop-l-ene-l,3-sultone (PES), ethylene sulfate (1, 3, 2-dioxathiolane-2, 2-dioxide, DTD), and lithium difluorophosphate (LFO)
Tesla recognizes that increased temperatures are detrimental to the lifespan of a battery system. In a previous patent, Tesla outlined a cooling system that could lead to longer-lasting energy storage systems. While heat is unavoidable as it is a key player in the use of lithium-ion batteries, especially when owners of Tesla vehicles are operating in performance modes, engineers realize the solvents and solutions could be a way to improve performance and lifespan without significantly increasing cost.
In a way, a good part of Tesla’s lead in the electric car industry lies in the company’s batteries, or more specifically, its cell chemistry. It is these factors that allow Tesla to maximize its vehicles’ battery packs, and a key reason why the Model S Long Range is able to travel 373 miles on one charge with a 100 kWh battery, and why the Porsche Taycan can only go 201 miles per charge on a pack that’s nearly as large. This patent confirms that Tesla continues to work on improving its batteries, allowing the company to maintain or even increase its lead in the EV segment.
At Tesla’s Autonomy Day in April 2019, Elon Musk promised owners that the company would soon power its vehicles for upwards of one million miles over the span of the vehicle’s life. While the claim seemed enthusiastic and somewhat unrealistic, critics soon realized Tesla may be closer to this than many think. In September, a team of researchers led by Jeff Dahn at Dalhousie University published a research paper that claimed they had developed a lithium-ion battery capable of one million miles of driving, or 20 years of use in an energy-storage system.
Tesla’s battery technology continues to advance thanks to developments from its engineers. It appears Tesla is aiming to create a line of products that will last decades. In terms of automobiles, it would be groundbreaking to have a car that could run for 20 or 30 years with relatively no annual maintenance. Convenience, performance, and longevity are three things Tesla’s products are aimed toward, and the patent for an advanced and more affordable battery system thanks to an electrolyte solvent could alleviate any concerns some owners may have.
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
