TapTechNews June 28th news, according to Jikr official, the new model of the compact SUV ZEEKR X will be launched on July 1st, and it will have an improvement in the intelligence aspect (details not disclosed in detail, very limited information). In addition, the ZEEKR ZEEKR X OS 5.2 version of the in-vehicle system will also be synchronized pushed.
ZEEKR X was launched in April 2023, and the 2024 model was released in January this year. For reference, the 2024 ZEEKR X provides two models for the five-seater four-wheel drive version and the four-seater rear-wheel drive version, reduced from 4 of the previous generation to 2, and the official guide price starts at $29,760 (about 200,000 yuan), a decrease of $1,447 (about 9800 yuan) compared to the previous generation.
The four-wheel drive version cannot be optionally equipped with 4D zero gravity seat, flexible center console, and rear seat folding, which are standard on the rear-wheel drive version.
The rear-wheel drive version can be optionally equipped with four-wheel drive, automatic doors, interactive technology suite, welcome lights and center console refrigerator, and the four-wheel drive version cannot be optionally equipped.
Its length, width and height are 175.2/72.2/61.9 inches respectively, and the wheelbase is 108.3 inches, equipped with rear privacy glass, frameless doors, frameless rearview mirrors, and a handleless design.
ZEEKR X provides single-motor rear-wheel drive and dual-motor four-wheel drive models, among which the maximum power of the single-motor model is 200 kW, and the combined power of the dual-motor car reaches 315 kW, and the 0-100 km/h acceleration is 3.7 seconds. The car will be equipped with a 66 kWh ternary lithium battery, which can provide 311 miles, 319 miles and 348 miles of range.
According to the blogger Xiaobai Classmate is coming, the upcoming ZEEKR X OS 5.2 will comprehensively upgrade HMI 3.0 (TapTechNews note: HumanMachineInterface), and at the same time bring more than 100 optimized details, and more than 30 new and optimized functions.