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Tesla Model S police cruiser aces pilot program with remarkably short downtime

(Credit: Fremont PD)

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Last year, the Fremont Police Department launched a one-year Electric Patrol Vehicle Pilot Program aimed at determining if EVs could be effectively used as a standard police cruiser. The Fremont PD chose a second-hand Tesla Model S 85 for its program, which was outfitted with the necessary equipment and deployed as a pursuit vehicle for regular police use.

As it turned out, EVs like the Tesla Model S could not only perform well and withstand the rigors of police work; they could be on the road far longer than their gas-powered counterparts as well, thanks to their low maintenance. The department summed up its findings in a statement released on Thursday.

“After careful review, the Pilot Program was determined to be a success. The police patrol electric vehicle met the needs of police services,” the Fremont PD wrote in a report. Captain Sean Washington proved optimistic about the program as well. “The final results from the one-year Electric Patrol Vehicle Pilot Program have been encouraging as the City of Fremont continues to look for cost-effective ways to help make Fremont more sustainable,” he said.

What really set the Model S apart from its gas-powered colleagues was its low operating costs. During the pilot program, the all-electric sedan consumed $1,036 in energy, far lower than the Ford PPV’s $5,133, assuming that gasoline prices stood at $3 a gallon. The downtime for the Model S 85 was remarkably short as well, with the Tesla spending almost four weeks more on the road compared to its combustion engine-powered counterparts.

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“With an average of 27 fewer days of downtime per year, a savings of $2,147 in the total annual cost of energy/fuel, maintenance, and repair, and no operational carbon dioxide emissions, the pilot program results have prompted Fremont PD to move forward with plans to expand its fleet of electric patrol vehicle alternatives,” the Captain said.

That being said, the repair costs for the Model S 85 proved higher at $4,865 during the pilot year as compared to the $2,915 required by the Ford PPV. According to the Fremont PD on Twitter, this was partly due to the fact that they had to replace the Model S’ tires, thanks in part to the vehicle being used on a pursuit course over multiple days to help train officers. A couple of flat tires over the year also added to the vehicle’s repair costs.

Ultimately, the Model S proved itself as a car that is more than capable of being used as a standard police vehicle. Its 265-mile range easily accommodated the 40 to 70 miles of driving that regular patrol vehicles accumulate on an average day. Police officers who used the Tesla even reported an enhanced feeling of safety and control, as well as a reduction in anxiety and stress, when using the Model S. Radio communications with the Tesla proved superior too, thanks to the lack of engine noise.

Thanks in part to the successful pilot year of the Model S 85, the Fremont Police Department has since added a Tesla Model Y to its fleet. The authorities noted that the Model Y could be even better than the Model S due to its lower starting price, longer range, increased storage space, and higher ground clearance.

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The Fremont PD’s report on its Electric Patrol Vehicle Pilot Program could be accessed below.

Police Electric Vehicle Pilot by Simon Alvarez on Scribd

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk secretly acquires $1B energy company to power the AI future

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk flew under the radar with his recent purchase of a $1 billion energy company, according to Federal Trade Commission (FTC) documents.

Transaction number 202612350 listed Tesla and SpaceX frontman Elon Musk as the acquiring party and CF APR Super Holdings LLC as the seller, with New APR Energy, LLC as the acquired entity. The deal, which closed without public announcement, came to light on May 14.

Analysts inferred the deal’s scale from minority stakeholder disclosures, including one report of a 5 percent interest sold for approximately $50.4 million. Fortress Investment Group had purchased APR’s assets in late 2024, rebranded the operation as New APR Energy, and subsequently transferred ownership to Musk.

APR Energy specializes in rapidly deployable power infrastructure. The company maintains one of the world’s largest fleets of mobile gas and diesel turbines, with more than 1.1 gigawatts of generation capacity. Its modular units, which are often trailer-mounted, enable turnkey installations ranging from 20 MW to over 500 MW.

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APR provides full engineering, procurement, construction, operation, and maintenance services for behind-the-meter power plants, serving everything from data centers, utilities, and industrial clients.

The firm has expanded aggressively to meet surging demand, recently adding turbines and deploying over 100 MW for a major AI hyperscaler. Its solutions bridge critical gaps where grid interconnections face delays of two to five years, according to Yahoo.

The acquisition means something more for Musk. As he continues to expand projects in artificial intelligence, especially xAI, his AI venture, there is a greater need to supply energy-intensive supercomputing clusters, including the Colossus project, with what they need: reliable and high-capacity power.

Ownership of APR provides immediate access to flexible generation assets that can be deployed adjacent to data centers, reducing dependence on a strained infrastructure. It also complements Tesla’s energy storage business, so Musk will be able to pull from his own entities to address the rapid scaling demands of AI training and compute.

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Tesla has to fix a big problem with its old headlights, NHTSA says

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tesla model 3 first generation headlight
Credit: Tesla Asia/Twitter

Tesla had a petition protesting a recall to fix a potential issue with 2017-2023 Model Y and Model 3 vehicles’ headlights was denied, as the National Highway Traffic Safety Administration (NHTSA) disagreed with the company’s opinion of things.

The recall covers approximately 19,917 Model Y and Model 3 vehicles built from 2017 to 2023. Tesla initially submitted a noncompliance report for the headlights on these vehicles on March 15, 2024. Tesla then petitioned for an exemption from the fix, which violated FMVSS No. 108 (40 CFR 571.108), arguing that the “noncompliance is inconsequential as it relates to motor vehicle safety.

The NHTSA disagreed, stating that Tesla’s conclusion that the headlights do not increase any risk was not an opinion it shared. The agency said it disagreed with Tesla’s assumption that glare is not increased to surrounding traffic. This issue could be highlighted even more in certain weather conditions.

Tesla will be required to remedy the issue, the NHTSA ruled:

“In consideration of the foregoing, NHTSA has decided that Tesla has not met its burden of persuasion that the subject FMVSS No. 108 noncompliance is inconsequential to motor vehicle safety. Accordingly, Tesla’s petition is hereby denied, and Tesla is consequently obligated to provide notification of and free remedy for that noncompliance under 49 U.S.C. 30118 and 30120.”

The issue here appears to be the angle of the headlights and the brightness they emit during operation. The NHTSA report states that:

“Tesla’s headlamp supplier, Marelli Automotive Lighting, tested 25 right-hand and 25 left-hand lamps, and for this sample, found the maximum photometric intensity measured in the 10°U to 90°U and 90°L to 90°R zone was between 136.2 cd and 230.1 cd for the right-hand lamps and between 117.5 cd and 160.3 cd for the left-hand lamps. According to Tesla, these tests revealed that the photometric intensity of the right-hand and left-hand headlamp lower beam on the subject vehicles may measure as much as 230.1 cd in the 10°U to 90°U and 90°L to 90°R zone, exceeding the maximum photometric intensity by 105.1 cd. Additionally, Tesla states that a left-hand lamp tested by a Transport Canada recognized laboratory measured a maximum of 171.27 cd in the 10°U to 90°U and 90°L to 90°R zone. Despite these measurements exceeding the allowed photometric maximum of 125 cd, Tesla believes that the subject noncompliance is inconsequential to motor vehicle safety.”

Tesla also argued at some points that the headlights had not been deemed responsible for any complaints, accidents, or injuries related to the noncompliance.

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NTSB findings on fatal Tesla crash tell a very different story

The NTSB confirmed the driver, not Tesla’s FSD, caused the fatal Texas house crash.

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The National Transportation Safety Board released preliminary findings Wednesday confirming that a Tesla driver, not the vehicle’s software, caused a fatal crash in Katy, Texas in June. The driver, 44-year-old Michael Butler, had engaged Full Self-Driving Supervised mode on Rose Hollow Lane, a residential street with a 30 mph speed limit, before manually overriding the system by pressing the accelerator pedal all the way to 100%. Data recovered from the 2025 Tesla Model 3 showed the vehicle was traveling over 70 miles per hour when it struck a home and killed 76-year-old Martha Avila, who was inside. Weather was clear, the road was dry, and it was daylight.

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Butler told authorities he had passed out at the wheel. But security camera footage obtained by the NTSB told a different story, and showed the car accelerating through an intersection before leaving the road entirely. Police also found that Butler’s phone had Google searches including the terms “Tesla FSD not aggressive enough 2026” and “Tesla FSD too timid,” raising serious questions about how he was using the system before the crash. Butler has since been charged with manslaughter. The victim’s family has filed a lawsuit against both Butler and Tesla, alleging negligence.

The NTSB findings aligned directly with what Tesla VP of AI Software Ashok Elluswamy had already stated publicly on X in the weeks after the crash, writing that “the driver manually overrode self-driving by pressing the accelerator all the way to 100%.” The data confirmed his account.

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