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Tesla targets lower operating costs through new waste water treatment system patent
Tesla is arguably one of the most dynamic companies in the industry today, with its tendency to constantly innovate even after it reaches its ambitious targets. This particular culture was mentioned by Tesla’s President of Automotive Jerome Guillen in a recent interview with CNBC, when he stated that Tesla’s work, specifically in its batteries, continue to evolve over time. Elon Musk echoed this tendency on Twitter, stating that even Tesla’s vehicles like the Model S and X are partially upgraded every month “as soon as a new subsystem is ready for production.”
Such a culture is emblematic of Tesla. Such a culture is also reflected in a recently published patent for the company, which outlines a clever waste water treatment system that could pave the way for more cost savings in operational expenses. The patent is titled System for Regenerating Sodium Hydroxide and Sulfuric Acid from Waste Water Stream Containing Sodium and Sulfate Ions and was published on November 15.
Tesla notes in its patent description that “acid leaching performed through the addition of sulfuric acid and neutralization through the addition of sodium hydroxide” are common processes used in manufacturing. As a result of these processes, waste water containing high concentrations of sodium and sulfate ions produced, since sodium and sulfate ions are very soluble and are difficult to remove through conventional precipitation processes. Tesla notes that these factors could result in large quantities of waste water being disposed — a process that is both expensive and harmful for the environment.
In a conventional waste water treatment setup, three chambers separated by an anion exchange membrane (AEM) and a cation exchange membrane (CEM), as well as anodes and cathodes, are utilized. Tesla notes that the present system for waste water treatment leaves much to be desired, considering that the setup is not cost-effective at all.
“With the prior art system, not all of the sodium and sulfate ions are able to be removed from the waste water feed stream to produce the ‘treated’ water. This reduces recovery of acid/caustic, and also presents challenges when trying to reuse the “treated” water. This process becomes increasingly difficult as the concentration of ions in the waste water feed stream lowers as it moves through the electrolysis treatment system, and an increasing amount of electrical voltage needs to be applied.
“Further, the generated acid/caustic products can only be produced at low concentrations. As the product streams increase in concentration, an increasing amount of electrical voltage is needed between the anode and the cathode. Further, as the membranes AEM and CEM are in contact with these higher concentration acid/caustic products, the lifetime of the membranes and decreases. The combination of a high electrical load, low recovery efficiency, low recovered acid/caustic concentrations, and short component lifetimes make the prior art system economically unviable.”
Tesla’s waste water treatment system utilizes membrane concentration systems as a cornerstone to develop a system where waste water is treated and possibly even reused. The electric car maker describes its system in the following description.
“As compared to prior waste water treatment systems, the waste water treatment system of the present disclosure uses the three dedicated membrane concentration systems to maintain high ion concentrations in the feed and low ion concentrations in the product chambers. The first thermal concentration system takes in the dilute acid produced by the electrolysis treatment system that allows pure water to permeate while the dissolved acid species are rejected. The pure water is recycled back to the second chamber of the electrolysis treatment system to dilute this stream, while the reject concentrated acid is extracted as a product.
“The second thermal concentration system takes in the dilute caustic produced by the electrolysis treatment system and allows pure water to permeate while the dissolved caustic species are rejected. The pure water is recycled back to the third chamber of the electrolysis treatment system to dilute this stream, while the reject concentrated caustic is extracted as a product. The membrane concentration system takes in the existing waste water that still contains significant dissolved sodium and sulfate. Pure water is extracted as a product, and the concentrate reject is sent back to the electrolysis treatment system waste water feed to maintain a high concentration of sodium and sulfate ions in the waste water feed.”
With such a system in place, Tesla expects to see optimizations in its operations. The Silicon Valley-based carmaker noted in its patent that its waste water treatment system would likely even extend the lifetime of components such as the AEM and CEM, resulting in more cost savings.
“The waste water treatment system of the present disclosure has significant operational advantages, including resulting in large positive driving concentration gradient assisting electric voltage, as opposed to negative gradient resisting electric voltage in (a) conventional system, dramatically reducing electrical load. The waste water treatment system allows for the AEM and CEM of the electrolysis treatment system to be in contact with low concentration acid/caustic, significantly increasing their lifetimes.
“Further, the produced acid/caustic from the membrane concentration systems are at much higher concentrations than the electrolysis treatment system could make on its own, increasing their value. Moreover, the exiting pure water product is Reverse Osmosis (RO) quality and can be directly used to service pure water needs. The recovery of both sodium and sulfate ions is near 100%, since there are almost no remaining ions in the exiting pure water product.”
Over the past months, published patents from the company show that Tesla is looking to optimize several aspects of its operations. Included among these is a rigid structural cable that could open the gates for more automation, a flexible clamping assembly that would allow the company to easily address panel gaps, as well as a DCM recovery system that could make battery manufacturing safer.
Tesla’s recently published patent for its novel waste water treatment system could be accessed in full here.
Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.
Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”
Elon Musk says your Tesla will start to learn your individual preferences
This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.
It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.
Highway Lane Preferences
The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.
Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.
Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.
Parking Preferences
This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.
The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:
Yeah it seems like FSD v14.3.5 is having some issues with parking early on https://t.co/Bw5ULfVmDq pic.twitter.com/RHdpjOEpIo
— TESLARATI (@Teslarati) July 13, 2026
However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.
Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:
Yes
— Elon Musk (@elonmusk) July 20, 2026
It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.
The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.
This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.
Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.
Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”
The car will start to remember your specific interventions and match each person’s individual preferences
— Elon Musk (@elonmusk) July 18, 2026
This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.
Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.
These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.
READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:
Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance
If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.
For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.
🚨 Tesla Full Self-Driving v14.3 proceeds through an Except Right Turn Stop Sign pic.twitter.com/YemRSlens7
— TESLARATI (@Teslarati) April 8, 2026
That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.
This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.
Florida Governor Ron DeSantis has sharply criticized legacy media outlets for what he describes as selective and biased reporting on vehicle accidents involving Tesla. In a recent X post, DeSantis questioned why headlines routinely spotlight the Tesla brand in crash stories, even when human error is the clear cause, while similar incidents with other automakers often receive generic treatment.
A prime example is the June 19, 2026, fatal crash in Katy, Texas. A Tesla Model 3 driven by Michael Butler struck a brick home at high speed, killing 76-year-old Martha Avila inside. Initial reports and headlines prominently featured “Tesla crash” and referenced the driver’s claim that an automated driving-assistance system was engaged.
Many outlets quickly speculated that Full Self-Driving or Autopilot were the cause of the crash, immediately blaming the suites for the accident shortly after it happened.
However, Tesla responded shortly after the accident with vehicle data that showed Butler manually overrode the system by pressing the accelerator to 100 percent, reaching 73 MPH in a residential area, more than double the speed limit. The accelerator remained floored after impact.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
The National Transportation Safety Board (NTSB) later confirmed these findings, and Butler now faces manslaughter charges. His phone searches also included queries like “Tesla FSD too timid,” suggesting he may have intervened aggressively. Despite this, many headlines continued to center Tesla’s technology rather than the driver’s actions.
DeSantis highlighted a Washington Post headline, which was labeled, “Newly released photo shows wreckage of Tesla crash that killed grandmother.”
Do legacy media outlets typically use headlines involving the make of a car in a crash or is that only for Tesla?
It would be one thing if the self-driving malfunctioned but the crash was purely human-induced.
Seems like these outlets want to associate Tesla with crashes as… pic.twitter.com/EmfyeYiuv6
— Ron DeSantis (@RonDeSantis) July 17, 2026
The subheadline noted the driver overrode assistance and floored the accelerator, yet the brand name dominated the framing. He asked whether legacy outlets typically name the make of a car in routine crashes or reserve that treatment for Tesla to push a narrative.
This pattern appears widespread. Crashes involving Ford, Chevrolet, or Toyota vehicles frequently appear as “pickup truck slams into home” or “fatal car crash kills pedestrian” without brand specifics, especially absent new technology angles.
High-profile Ford F-150 or Chevy Silverado incidents tied to large sales volumes often escape brand-callout scrutiny. In contrast, Tesla stories consistently lead with the manufacturer, amplifying perceptions of risk despite data showing strong overall safety performance:
🚨 Why do Tesla Owners get so defensive over the narrative of crashes involving Teslas? https://t.co/aX7ogtjTCR pic.twitter.com/KO4QWaLOKl
— TESLARATI (@Teslarati) June 24, 2026
Tesla’s own 2025 Impact Report indicates vehicles using FSD logged 0.19 major incidents per million miles, roughly eight times fewer than the U.S. average. Models like the Model Y also rank among the safest in IIHS and NHTSA testing for occupant protection. Critics argue disproportionate coverage ignores these statistics and driver behavior factors, such as younger or more aggressive Tesla owners in some studies.
DeSantis frames this as part of a broader political agenda against innovative American companies like Tesla. By consistently naming Tesla while downplaying others, media outlets risk eroding public trust and shaping perceptions detached from the evidence of human error in most cases.
As autonomous technology evolves across the industry, consistent and factual reporting will be essential to separate real safety concerns from narrative-driven coverage.
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