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Xpeng partners with China’s streamlined EV service platform that covers 90% of country

Credit: Xpeng | New Electricity Approach

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Xpeng and New Electricity Approach, a leading charging platform for electric vehicles in China, have partnered to bring the two companies’ respective charging infrastructures together. The partnership, which brings New Electricity Approach’s over 110,000 charging piles in China together with Xpeng’s 954 self-operated charging stations, further expands the integrated infrastructure of domestic charging in China giving EV owners more charging options.

The partnership between the two companies will also include data sharing that will “leverage the combination of data from XPeng and its own algorithms across application scenarios” to achieve data interoperability, a press release said.

New Electricity Approach’s collaboration with Xpeng is far from its first with leading Chinese automakers. The company also shares partnerships with other notable EV powerhouses in China, including Nio, and Li Auto, as well as other traditional automakers like Honda and FAW-Volkswagen, a joint venture between FAW Group and Volkswagen Group that builds vehicles with Audi and Volkswagen marques in China.

The platform has no achieved a 90 percent coverage rate in China due to its ability to connect with over 350 Chinese charging operators. These include the State Grid Corporation of China, China Southern Power Grid, TELD, and Star Charge

“The collaboration between the leading aggregation charging platform and the promising Chinese EV company is bound to create strong synergies,” Wang Guangxing, the CEO of New Electricity Approach, said.

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New Energy Approach’s technology allows for a streamlined charging experience that allows for fast and seamless EV charging. Vehicles can charge on credit and provide lower costs, shorter access time, and more convenient operation management of its over 110,000 Supercharger piles. Over 500,000 drivers utilize the service.

“The tie-up between New Electricity Approach and XPeng is expected to become a model for achieving a win-win situation,” New Electricity Approach said. “With the accelerated integration of the ‘internet of charging piles’ connected by New Electricity Approach and the “internet of vehicles ” enabled by XPeng superchargers, both parties will further promote the establishment of a shared charging network in China and boost the development of the entire EV charging market, in tandem with benefiting car owners by allowing them to participate in actions that reduce their personal carbon footprint without worrying about where they will find the nearest charging station.”

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Investor's Corner

Tesla analyst realizes one big thing about the stock: deliveries are losing importance

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Credit: Joe Tegtmeyer | YouTube

Tesla analyst Dan Levy of Barclays realized one big thing about the stock moving into 2026: vehicle deliveries are losing importance.

As a new era of Tesla seems to be on the horizon, the concern about vehicle deliveries and annual growth seems to be fading, at least according to many investors.

Even CEO Elon Musk has implied at times that the automotive side, as a whole, will only make up a small percentage of Tesla’s total valuation, as Optimus and AI begin to shine with importance.

He said in April:

“The future of the company is fundamentally based on large-scale autonomous cars and large-scale and large volume, vast numbers of autonomous humanoid robots.”

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Levy wrote in a note to investors that Tesla’s Q4 delivery figures “likely won’t matter for the stock.” Barclays said in the note that it expects deliveries to be “soft” for the quarter.

In years past, Tesla analysts, investors, and fans were focused on automotive growth.

Cars were truly the biggest thing the stock had to offer: Tesla was a growing automotive company with a lot of prowess in AI and software, but deliveries held the most impact, along with vehicle pricing. These types of things had huge impacts on the stock years ago.

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In fact, several large swings occurred because of Tesla either beating or missing delivery estimates:

  • January 3, 2022: +13.53%, record deliveries at the time
  • January 3, 2023: -12.24%, missed deliveries
  • July 2, 2024: +10.20%, beat delivery expectations
  • October 3, 2022: -8.61%, sharp miss due to Shanghai factory shutdown
  • July 2, 2020: +7.95%, topped low COVID-era expectations with sizeable beat on deliveries

It has become more apparent over the past few quarters that delivery estimates have significantly less focus from investors, who are instead looking for progress in AI, Optimus, Cybercab, and other projects.

These things are the future of the company, and although Tesla will always sell cars, the stock is more impacted by the software the vehicle is running, and not necessarily the vehicle itself.

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Tesla removes Safety Monitors, begins fully autonomous Robotaxi testing

This development, in terms of the Robotaxi program, is massive. Tesla has been working incredibly hard to expand its fleet of Robotaxi vehicles to accommodate the considerable demand it has experienced for the platform.

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Credit: @Mandablorian | X

Tesla has started Robotaxi testing in Austin, Texas, without any vehicle occupants, the company’s CEO Elon Musk confirmed on Sunday. Two Tesla Model Y Robotaxi units were spotted in Austin traveling on public roads with nobody in the car.

The testing phase begins just a week after Musk confirmed that Tesla would be removing Safety Monitors from its vehicles “within the next three weeks.” Tesla has been working to initiate driverless rides by the end of the year since the Robotaxi fleet was launched back in June.

Two units were spotted, with the first being seen from the side and clearly showing no human beings inside the cabin of the Model Y Robotaxi:

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Another unit, which is the same color but was confirmed as a different vehicle, was spotted just a few moments later:

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The two units are traveling in the general vicinity of the South Congress and Dawson neighborhoods of downtown Austin. These are located on the southside of the city.

This development, in terms of the Robotaxi program, is massive. Tesla has been working incredibly hard to expand its fleet of Robotaxi vehicles to accommodate the considerable demand it has experienced for the platform.

However, the main focus of the Robotaxi program since its launch in the Summer was to remove Safety Monitors and initiate completely driverless rides. This effort is close to becoming a reality, and the efforts of the company are coming to fruition.

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It is a drastic step in the company’s trek for self-driving technology, as it plans to expand it to passenger vehicles in the coming years. Tesla owners have plenty of experience with the Full Self-Driving suite, which is not fully autonomous, but is consistently ranked among the best-performing platforms in the world.

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Tesla refines Full Self-Driving, latest update impresses where it last came up short

We were able to go out and test it pretty extensively on Saturday, and the changes Tesla made from the previous version were incredibly impressive, especially considering it seemed to excel where it last came up short.

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Credit: TESLARATI

Tesla released Full Self-Driving v14.2.1.25 on Friday night to Early Access Program (EAP) members. It came as a surprise, as it was paired with the release of the Holiday Update.

We were able to go out and test it pretty extensively on Saturday, and the changes Tesla made from the previous version were incredibly impressive, especially considering it seemed to excel where it last came up short.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

With Tesla Full Self-Driving v14.2.1, there were some serious regressions. Speed Profiles were overtinkered with, causing some modes to behave in a strange manner. Hurry Mode was the most evident, as it refused to go more than 10 MPH over the speed limit on freeways.

It would routinely hold up traffic at this speed, and flipping it into Mad Max mode was sort of over the top. Hurry is what I use most frequently, and it had become somewhat unusable with v14.2.1.

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It seemed as if Speed Profiles should be more associated with both passing and lane-changing frequency. Capping speeds does not help as it can impede the flow of traffic. When FSD travels at the speed of other traffic, it is much more effective and less disruptive.

With v14.2.1.25, there were three noticeable changes that improved its performance significantly: Speed Profile refinements, lane change confidence, and Speed Limit recognition.

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Speed Profile Refinement

Speed Profiles have been significantly improved. Hurry Mode is no longer capped at 10 MPH over the speed limit and now travels with the flow of traffic. This is much more comfortable during highway operation, and I was not required to intervene at any point.

With v14.2.1, I was sometimes assisting it with lane changes, and felt it was in the wrong place at the wrong time more frequently than ever before.

However, this was one of the best-performing FSD versions in recent memory, and I really did not have any complaints on the highway. Speed, maneuvering, lane switching, routing, and aggressiveness were all perfect.

Lane Changes

v14.2.1 had a tendency to be a little more timid when changing lanes, which was sort of frustrating at times. When the car decides to change lanes and turn on its signal, it needs to pull the trigger and change lanes.

It also changed lanes at extremely unnecessary times, which was a real frustration.

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There were no issues today on v14.2.1.25; lane changes were super confident, executed at the correct time, and in the correct fashion. It made good decisions on when to get into the right lane when proceeding toward its exit.

It was one of the first times in a while that I did not feel as if I needed to nudge it to change lanes. I was very impressed.

Speed Limit Recognition

So, this is a complex issue. With v14.2.1, there were many times when it would see a Speed Limit sign that was not meant for the car (one catered for tractor trailers, for example) or even a route sign, and it would incorrectly adjust the speed. It did this on the highway several times, mistaking a Route 30 sign for a 30 MPH sign, then beginning to decelerate from 55 MPH to 30 MPH on the highway.

This required an intervention. I also had an issue leaving a drive-thru Christmas lights display, where the owners of the private property had a 15 MPH sign posted nearly every 200 yards for about a mile and a half.

The car identified it as a 55 MPH sign and sped up significantly. This caused an intervention, and I had to drive manually.

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It seems like FSD v14.2.1.25 is now less reliant on the signage (maybe because it was incorrectly labeling it) and more reliant on map data or the behavior of nearby traffic.

A good example was on the highway today: despite the car reading that Route 30 sign and the Speed Limit sign on the center screen reading 30 MPH, the car did not decelerate. It continued at the same speed, but I’m not sure if that’s because of traffic or map data:

A Lone Complaint

Tesla has said future updates will include parking improvements, and I’m really anxious for them, because parking is not great. I’ve had some real issues with it over the past couple of months.

Today was no different:

Full Self-Driving v14.2.1.25 is really a massive improvement over past versions, and it seems apparent that Tesla took its time with fixing the bugs, especially with highway operation on v14.2.1.

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