汽车钢铁车轮油耗量检测数据

通过采集车轮重量、加速前车速、加速后车速、车速差、行驶时间、行驶里程、消耗掉的油量，从而计算出消耗的油量。以此获得不同型号车轮的燃油消耗情况，以此优化车轮设计。1、数据采集。通过采集车轮重量、加速前车速、加速后车速、车速差、行驶时间、行驶里程、消耗掉的油量。2、数据处理。通过公式：行驶里程=车速差*行驶时间，计算出行驶路程，百公里油耗=消耗掉的油量（L）÷行驶里程（km）×100。3、数据应用。获得不同型号车轮的燃油消耗情况，以此优化车轮设计。This dataset is developed to optimize wheel design by acquiring the fuel consumption performance of different wheel models. The workflow includes three core stages: 1. Data Collection: Collect the following parameters: wheel weight, pre-acceleration vehicle speed, post-acceleration vehicle speed, speed difference, driving time, driving mileage, and consumed fuel. 2. Data Processing: Calculate driving mileage using the formula: driving mileage = speed difference × driving time; compute fuel consumption per 100 kilometers via the formula: fuel consumption per 100 km (L/100km) = (consumed fuel (L) ÷ driving mileage (km)) × 100. 3. Data Application: Obtain the fuel consumption characteristics of different wheel models to optimize wheel design.

搜集汇总

数据集介绍

特点

该数据集包含91条汽车钢铁车轮的油耗量检测数据，涵盖车轮重量、车速变化、行驶时间和里程、油耗量等指标，用于计算百公里油耗并优化车轮设计。数据每周更新，且已通过区块链存证。