Basic Information

BrandToyota
SeriesVios
Year2023
First Registration2023/04
Mileage39,000km
Transfer Count1times
FuelGasoline
TransmissionCVT
Engine1.5L 112 L4
ColorWhite
Seats5seats

Condition Description

The vehicle has been driven 39,000 kilometers and is in original condition with no repaint. It has been safely driven by a single owner.

燃油车
轿车
自动
维保开放
事故开放
查验开放

Configuration Highlights

✓品牌: 丰田
✓车系: 威驰
✓车型: 2022款 1.5L 20周年纪念版
✓车身类型: 轿车
✓排量: 1.5L
✓变速箱: 自动
✓能源类型: 燃油车
✓VIN: LFMA8E2AXP0731445
✓搜索关键词: 丰田威驰 2022款威驰1.5L20周年纪念版

Document Information

Inspection Expiry Date2027/04
Warranty Expiry Date-
Insurance Expiry Date2027/04

Q&A

More

After picking up the car, I found the tire pressure warning (TPMS). How can I reset the tire pressure sensor myself?

Temperature differences during sea transport can easily trigger the tire pressure warning. After inflating the tires to the standard pressure (usually 2.5 Bar), most vehicles will automatically clear the warning after driving a few kilometers; some models require manually clicking "Tire Pressure Reset" in the "Vehicle Settings" on the central screen.

When checking the history records, can you distinguish whether the vehicle was involved in a "single-vehicle accident (like hitting a wall)" or a "multi-vehicle rear-end collision"?

If insurance claims records are accessed, there will usually be notes like "the insured vehicle is fully responsible for hitting a fixed object" or "third-party liability insurance payment." We can roughly reconstruct the accident scene based on this and cross-verify the stress points on the vehicle's frame with paint thickness gauge data.

If there is a conflict between the historical report from Dr. Cha or Dongche Di and the backend data from the 4S store, which one do you rely on?

Always rely on the original factory network data from the 4S store. Third-party platforms may have delays or errors when capturing data (such as incorrect VIN entry). In case of a conflict, we rely on physical verification of the actual vehicle to resolve the data discrepancies.