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A new low-cost electric car launched Friday to take on BYD’s Seagull EV. GM’s Wuling launched the 2024 Bingo EV Friday, starting under $8,000 (56,800 yuan) as it looks to top BYD.

In March, BYD sent shockwaves across the industry with the launch of its new Seagull EV, starting at just $9,700 (69,800 yuan).

The low-cost Seagull is leading BYD’s “new era of electricity is cheaper than oil,” with nearly 35,000 models sold in May alone. At least one automaker looks to keep pace.

GM’s joint venture with SAIC, Wuling, launched the new 2024 Bingo EV Friday with new upgrades and a lower price tag. With starting prices under $8,000 (56,800 yuan), GM’s new Wuling Bingo undercuts BYD’s Seagull.

BYD’s Seagull EV was the top-selling small car in China last month, followed by the Bingo. Since launching last March, over 280,000 Bingo models have been sold.

To bump up sales in hopes of overtaking BYD’s Seagull, the 2024 model includes faster charging, new features, and a starting price under $8,000.

GM's-Bingo-EV-$8,000
2024 Wuling Bingo EV (Source: Wuling)

GM’s Wuling launches 2024 Bingo EV under $8,000

Although the 2024 Wuling Bingo EV is the same size (3,950 mm long, 1,708 mm wide, 1,580 mm tall) as the 2023MY, the new model gains several upgrades.

It’s available in four variants: Light, Enjoyment, Lingxi connected, and Lingxi premium with 126 miles (203 km) to 255 miles (410 km) CLTC range.

GM's-Bingo-EV-$8,000
2024 Wuling Bingo EV interior (Source: Wuling)

All trims can now charge from 30% to 80% in 35 minutes with DC fast charging. On the 2023MY, the standard range (203 km) model did not include it.

The interior remains mostly unchanged, with a 10.25″ dual-screen system and 1,240 liters storage room (with the seats down). The higher Lingxi trims now include Ling OS Lingxi car system with entertainment apps.

GM's-Bingo-EV-$8,000
2024 Wuling Bingo EV (Source: Wuling)

Meanwhile, the longer range (333 km and 410 km) models are equipped with a three-in-one water-cooled flat wire motor. The upgrade enhances cooling efficiency.

Wuling Bingo EV vs BYD Seagull Starting Price Range
(CLTC)
Bingo EV Light $7,900
(56,800 yuan)
126 mi
(203 km)
Bingo EV Enjoyment $9,800
(70,800 yuan)
207 mi
(333 km)
Bingo EV Lingxi connected $10,300
(74,800 yuan)
207 mi
(333 km)
Bingo EV Lingxi premium $11,700
(84,800 yuan)
255 mi
(410 km)
BYD Seagull Active $9,700
(69,800 yuan)
190 mi
(305 km)
BYD Seagull Free $10,500
(75,800 yuan)
190 mi
(305 km)
BYD Seagull Flying $12,000
(85,800 yuan)
252 mi
(405 km)
Wuling Bingo EV vs. BYD Seagull prices and range

BYD’s Seagull EV, the Bingo’s main rival, starts at $9,700 (69,800 yuan) with up to 190 miles (305 km) CLTC range. It’s available in three trims with up to 252 miles (405 km) range.

Can GM’s new Wuling Bingo EV top the BYD Seagull in sales? Let us know your thoughts in the comments.

Source: CarNewsChina, Wuling

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Cheap new Hyundai, Tesla sales crater, Ford levels up, and China doesn’t like spies

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Cheap new Hyundai, Tesla sales crater, Ford levels up, and China doesn't like spies

On this episode of Quick Charge, Hyundai continues to invest in new electric vehicles, this time teasing a $25,000 (ish) compact EV set to debut later this month, along with a new IONIQ model. On the domestic front, Tesla sales are cratering so hard that they’re making everyone else’s great numbers look bad, Ford is leveling up its self driving software, and China thinks the Europeans are spying on them.

We’ve got everything from controversial Masts (what do you call “tweets” on Mastodon?), wild claims from Chinese and European carmakers, and even a callback to a classic episode of John Boy and Billy radio – let us know what you think!

Prefer listening to your podcasts? Audio-only versions of Quick Charge are now available on Apple PodcastsSpotifyTuneIn, and our RSS feed for Overcast and other podcast players.

New episodes of Quick Charge are recorded Monday through Thursday (that’s the plan, anyway). We’ll be posting bonus audio content there as well, so be sure to follow and subscribe so you don’t miss a minute of Electrek’s high-voltage daily news!

Got news? Let us know!
Drop us a line at tips@electrek.co. You can also rate us on Apple Podcasts and Spotify, or recommend us in Overcast to help more people discover the show!

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Arizona’s largest battery storage project clinches $513M in financing

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Arizona's largest battery storage project clinches 3M in financing

Recurrent Energy has secured $513 million in financing for Arizona’s largest standalone battery storage project.

Solar and battery storage developer, owner, and operator Recurrent Energy, a subsidiary of Canadian Solar (Nasdaq: CSIQ), secured financing for its Papago Storage project in Maricopa County, Arizona.

The financing includes a $249 million construction and term loan, a $163 million tax equity bridge loan, and a $101 million letter of credit facility.

Construction of the 1,200 MWh Papago Storage is expected to start in Q3 2024 and come online in Q2 2025. The project holds a 20-year tolling agreement with electric utility Arizona Public Service Company and is expected to create 200 construction jobs. 

Recurrent will own and operate Papago Storage once it’s complete. The project will dispatch enough power for around 244,000 homes for four hours a day in support of renewable energy.

Ismael Guerrero, CEO of Recurrent Energy, said, “When we began developing Papago Storage in 2016, the Arizona storage market was in its infancy. Today, Arizona is one of the fastest-growing markets for energy storage in the United States, bolstered by the state’s expanding economy and cost-effective renewable energy resources.

“Today, we are thrilled to see nearly a decade of planning culminate in financing what will be the largest energy storage project in Arizona. We appreciate the continued support from our partners Nord/LB and MUFG in our shared mission to advance the clean energy transition.”

Read more: Oxford sets a new world record for solar panel efficiency


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Elon Musk claims Tesla’s new AI supercluster will grow to over 500 MW, record AI chip

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Elon Musk claims Tesla's new AI supercluster will grow to over 500 MW, record AI chip

Elon Musk claims Tesla’s new AI supercluster will grow to over 500 MW, making it one of, if not the biggest in the world. At the same time, the CEO claims Tesla is achieving some record-breaking performance with its next-en AI chip.

A few months ago, we reported that Tesla was having issues building a new expansion at Gigafactory Texas to house a new giant supercomputer to train Tesla’s AI.

At the time, we heard that Tesla was aiming for a 100 MW cluster to be ready by August. Musk canceled other projects at Tesla to focus construction resources on the expansion.

Commenting on drone videos of the expansion, Musk said that it will grow to over 500 MW over the next 18 months:

Sizing for ~130MW of power & cooling this year, but will increase to >500MW over next 18 months or so. Aiming for about half Tesla AI hardware, half Nvidia/other. Play to win or don’t play at all.

We previously noted that it was strange that Tesla was internally referring to the project as a Dojo project, which refers to Tesla’s own supercomputing hardware, but sources were also told that the cluster would use Nvidia compute power.

Now, Musk confirmed that Tesla plans to use both its own hardware and Nvidia’s, as well as other suppliers.

However, things are getting a little unclear as Musk seems to also imply that Tesla will use some of its HW4 computers for the training clusters:

HW4 generally refers to Tesla’s in-car computer with an in-house designed chip, while Dojo is used for training, like this new cluster.

It’s unclear here if Musk is talking about using inference computing for training or just talking about Tesla’s overall planned computing power.

Electrek’s Take

Elon had mentioned at Tesla’s shareholders meeting that the company now had Nvidia-level AI chips, but the stock didn’t even move from that announcement as Nvidia became the most valuable company in the world.

I think Tesla’s AI effort is still not super credible for the market. That happens when you claim that you are about to achieve self-driving by the end of the year every year for the past 5 years.

At this point, we need to see Tesla make significant improvements to FSD with each new update. It sounded like this new cluster would help achieve that but Elon also recently said that Tesla was not compute-constrained for training right now, so it’s hard to really understand what is holding up improvements at this point.

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