低速电动车电池管理和回收多级分类数据

低速电动车电池管理和回收多级分类数据对电池性能进行全面评估和精确分类。该分类数据提供高度准确的电池性能信息，帮助企业优化电池资源的分配和回收管理决策。通过在二轮电动车上安装的电池管理系统（BMS），实时收集电池组的电压数据等关键参数。这些原始数据经过云端处理后，转化为一系列反映电池健康状况和性能的指标，包括电压平衡度指数（VBI）、电压稳定性指数（VSI）、电池组健康指数（BPHI）、综合电池状态指数（CBSI）等。基于多级分类结果，企业能够制定差异化的使用和回收策略，将性能优良的电池分配至高需求场景，如长距离行驶路线和重要客户服务；将性能略有下降的电池用于低强度使用领域；对于性能需要回收的电池，则进行及时的回收处理。这种精准的资源分配和回收策略不仅显著提高了电池的利用效率，延长了整体使用寿命，还有效降低了运营成本。低速电动车相关企业可以依托慧橙新能源的BAAS平台提供的多级分类数据，科学地管理和分配电动车资产，优化车队和资源管理，确保运营的高效与稳定，同时推动电池循环利用，实现可持续发展。 "1、数据采集：通过二轮电动车的电池管理系统（BMS）实时监控和采集电池包中各个电芯的电压数据。从本单位开发运营的""二轮电动车电池管理系统""上采集电池包的属性数据，包括：上报时间、各个电芯的电压数据、最高电芯电压（V_max）、最低电芯电压（V_min）、平均电芯电压（V_avg）等基础数据。
2、数据处理：电压平衡度指数(VBI)：1）VBI = 1 - (V_max - V_min) / V_avg；2）电压稳定性指数(VSI)：VSI = 1 - |V_avg(t) - V_avg(t-1)| / V_avg(t-1)；3）电池组健康指数(BPHI)：BPHI = V_avg / V_nominal；4）电压异常检测指数(VADI)：VADI = (V_max - V_min) / V_avg；5）综合电池状态指数(CBSI)：CBSI = α * VBI + β * VSI + γ * BPHI - δ * VADI。
3、数据应用：基于综合电池状态指数（CBSI），将电池健康状况分为四个等级，并评估其应用场景。

Multi-level classification data for low-speed electric vehicle battery management and recycling is used to comprehensively evaluate and accurately classify battery performance. This classification data provides highly accurate battery performance information, helping enterprises optimize battery resource allocation and recycling management decisions. Key parameters including battery pack voltage data are collected in real-time via the Battery Management System (BMS) installed on two-wheeled electric vehicles. These raw data are processed in the cloud and converted into a series of indicators reflecting battery health and performance, such as Voltage Balance Index (VBI), Voltage Stability Index (VSI), Battery Pack Health Index (BPHI), Comprehensive Battery State Index (CBSI), etc. Based on the multi-level classification results, enterprises can formulate differentiated usage and recycling strategies: allocate batteries with excellent performance to high-demand scenarios like long-distance driving routes and key customer services; deploy batteries with slightly degraded performance in low-intensity application fields; and conduct timely recycling for batteries requiring recovery. This precise resource allocation and recycling strategy not only significantly improves battery utilization efficiency and extends the overall service life, but also effectively reduces operating costs. Enterprises engaged in low-speed electric vehicle businesses can rely on the multi-level classification data provided by Huicheng New Energy's BAAS platform to scientifically manage and allocate electric vehicle assets, optimize fleet and resource management, ensure operational efficiency and stability, while promoting battery circular utilization and achieving sustainable development.

1. Data Collection: Monitor and collect voltage data of each cell in the battery pack in real-time through the Battery Management System (BMS) of two-wheeled electric vehicles. Collect battery pack attribute data from the "Two-wheeled Electric Vehicle Battery Management System" developed and operated by our organization, including: reporting time, voltage data of each cell, maximum cell voltage (V_max), minimum cell voltage (V_min), average cell voltage (V_avg) and other basic data.

2. Data Processing:
Voltage Balance Index (VBI): 1) VBI = 1 - (V_max - V_min) / V_avg;
Voltage Stability Index (VSI): VSI = 1 - |V_avg(t) - V_avg(t-1)| / V_avg(t-1);
Battery Pack Health Index (BPHI): BPHI = V_avg / V_nominal;
Voltage Abnormality Detection Index (VADI): VADI = (V_max - V_min) / V_avg;
Comprehensive Battery State Index (CBSI): CBSI = α * VBI + β * VSI + γ * BPHI - δ * VADI.

3. Data Application: Based on the Comprehensive Battery State Index (CBSI), divide battery health conditions into four levels and evaluate their applicable scenarios.

搜集汇总

数据集介绍

特点

该数据集包含低速电动车电池管理和回收的多级分类数据，通过实时采集电池参数并计算健康指标，用于优化电池资源分配和回收管理。数据规模为81687条，更新频次为按需更新。