Basic Information

BrandToyota
SeriesCorolla
Year2015
First Registration2015/01
Mileage128,000km
Transfer Count1times
FuelGasoline
TransmissionCVT
Engine1.6L 122 L4
ColorWhite
Seats-

Condition Description

2015 Corolla, leather sunroof version, one female owner, zero insurance claims, excellent condition, all original panels, all screws untouched, engine, gearbox, and chassis in good condition, dual insurance valid until February 2027.

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: 卡罗拉
✓车型: 2014款 1.6L CVT GL-i真皮版
✓车身类型: 轿车
✓座位数: 5
✓排量: 1.6L
✓变速箱: 自动
✓能源类型: 燃油车
✓VIN: LFMAP86C1E0472079
✓搜索关键词: 丰田卡罗拉 2014款卡罗拉1.6LCVTGL-i真皮版

Document Information

Inspection Expiry Date2027/01
Warranty Expiry Date-
Insurance Expiry Date2027/01

Q&A

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What are the differences in power loss performance of used lithium iron phosphate (LFP) and ternary lithium (NMC) batteries in cold countries?

If your market is in extremely cold regions (like Russia or Northern Europe), we strongly recommend purchasing ternary lithium (NMC) models equipped with heat pump air conditioning. The range achievement rate of used LFP batteries typically plummets at minus 15 degrees, and we will alert you accordingly.

How do you assess the leak risk of vehicles with panoramic sunroofs?

We maintain an absolute skeptical attitude. In addition to regular visual inspections, we focus on checking for sediment accumulation around the sunroof drainage channels and look for water stains under the A-pillar trim and front floor mats. This is the only effective physical evidence to determine if the sunroof drainage holes are blocked, leading to hidden leaks.

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.