A recent report from consultancy firm P3 Group has provided insights into the charging capabilities of electric vehicles (EVs) available in the US market. The study reveals that the Lucid Air Grand Touring currently holds the title for the fastest-charging EV, surpassing three Tesla models as well as other notable contenders.
During the test conducted by the firm, the charging performance of the EVs was measured by recording the mileage gained in two distinct ten-minute sessions. The Lucid Air achieved an impressive total of 208 miles, with 124 miles obtained during the first charging session and an additional 84 miles during the second session. This result exceeded the performance of the Tesla Model S Plaid, which gained a total of 193 miles across its two charging sessions, trailing behind the Lucid by 15 miles. Following closely behind was the Kia EV6 Long Range RWD, accumulating a total of 191 miles within the 20-minute test duration.
In contrast, the study found that the Ford F-150 Lightning exhibited the slowest charging performance among the EVs tested. In the initial ten-minute session, it only gained 59 miles, followed by an additional 50 miles in the second session. The F-150 Lightning, although one of the few off-road capable EVs included in the study, fell behind the Rivian R1T, which performed slightly better
Although the charging performance of the Lucid Air may seem impressive, there are several important considerations to keep in mind. The study highlighted that the luxurious nature of the Lucid Air comes with a significantly higher price tag compared to Tesla vehicles, which has put pressure on Lucid to reduce its prices.
It is important to consider that the study was conducted under specific conditions that were optimal for fast charging, taking place in California at a specific time that met the necessary ambient temperature requirements for maximum charging power. Furthermore, the study focused solely on electric vehicles sold in 2023, and given the rapid pace of advancements in EV technologies, it is highly likely that the results will become outdated in the near future, possibly within months or even years.
