电动自行车动力4816-B电池寿命分析数据

在规定的循环寿命测试制度下，分析电动自行车动力电池的容量保持率、放电容量衰减情况对以及应容量的变化率，用于评估该类型电池在长时间循环放电情况下的性能衰减情况、电池性能稳定性分析以及电池使用寿命预测。1.数据来源
在规定的循环寿命测试制度下，循环记录电动自行车动力4816-B电池800次的实时容量数据。
2.数据处理
2.1实时预警
基于电动自行车动力电池放电寿命要求，通过设置监测阈值并实现智能预警，当测试结束时，若循环记录600次中均没有预警，则继续循环至800次，容量保持率取800次的数据；若实时容量低于初始容量60%时，循环过程中有进行预警，则采用预警时的数据作为终止容量，结束循环；
2.2性能衰减变化率
采用以下公式计算电池性能变化相关的参数：
（1）容量保持率=实时容量/初始容量*100%；
（2）容量衰减率=（初始容量-终止容量）/初始容量*100%；
（3）容量变化率=(终止容量-实时容量)/终止容量；
3.数据应用
通过分析电动自行车动力电池的容量保持率、放电容量衰减情况对以及应容量的变化率，用于评估该类型电池在长时间循环放电情况下的性能衰减情况、电池性能稳定性分析以及电池使用寿命预测。

This dataset analyzes the capacity retention rate, discharge capacity attenuation, and corresponding capacity change rate of electric bicycle power batteries under the specified cycle life test regime, aiming to evaluate the performance decay, stability, and service life prediction of this type of battery during long-term cyclic discharge.

1. Data Source
Under the specified cycle life test regime, cyclically record real-time capacity data of 4816-B electric bicycle power batteries for 800 cycles.

2. Data Processing
2.1 Real-time Early Warning
Based on the discharge life requirements of electric bicycle power batteries, monitoring thresholds are set to enable intelligent early warning. At the end of the test:
- If no early warning is triggered during the 600 recorded cycles, continue the cycle until reaching 800 cycles, and use the data from the 800th cycle for capacity retention rate calculation;
- If the real-time capacity drops below 60% of the initial capacity and early warning is triggered during the cycle, use the data at the time of early warning as the termination capacity to end the cycle.

2.2 Performance Attenuation Change Rate
Calculate parameters related to battery performance changes using the following formulas:
(1) Capacity Retention Rate = (Real-time Capacity / Initial Capacity) × 100%;
(2) Capacity Attenuation Rate = [(Initial Capacity - Termination Capacity) / Initial Capacity] × 100%;
(3) Capacity Change Rate = (Termination Capacity - Real-time Capacity) / Termination Capacity.

3. Data Application
By analyzing the capacity retention rate, discharge capacity attenuation, and corresponding capacity change rate of electric bicycle power batteries, this dataset supports evaluating the performance decay, performance stability, and service life prediction of this type of battery during long-term cyclic discharge.

搜集汇总

数据集介绍

特点

该数据集包含802条电动自行车动力4816-B电池的循环寿命测试数据，用于分析电池的容量保持率、放电容量衰减情况以及容量变化率，评估电池性能衰减情况和寿命预测。数据来源于企业测试，通过特定算法处理，适用于电池性能稳定性分析和寿命预测场景。