等效循環電池組剩余使用壽命預測

李練兵; 季亮; 祝亞尊; 王志江; 嵇雷

doi:10.13374/j.issn2095-9389.2019.07.03.003

等效循環電池組剩余使用壽命預測

doi: 10.13374/j.issn2095-9389.2019.07.03.003

1.
河北工業大學人工智能與數據科學學院，天津 300130
2.
風帆有限責任公司，保定 071000

基金項目: 河北省重點研發計劃資助項目（20312102D，20314301D）

詳細信息

通訊作者:
E-mail: 1561013191@qq.com

中圖分類號: TM911.3
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出版歷程
- 收稿日期: 2019-07-03
- 刊出日期: 2020-06-01

Investigation of RUL prediction of lithium-ion battery equivalent cycle battery pack

1.
School of Artificial Intelligence, Hebei University of Technology, Tianjin 300130, China
2.
Fengfan Co., Ltd., Baoding 071000, China

More Information

Corresponding author: E-mail: 1561013191@qq.com

摘要

摘要: 電動汽車以零污染、零排放等優點成為新能源汽車中最具有發展潛力的對象，鋰離子電池作為其動力來源，科學準確地預測其剩余使用壽命是決定電動汽車性能的重要因素。本文研究等效循環電池組在等效循環工況、不同循環次數時，鋰離子電池電壓隨著放電時間的變化曲線。通過分析不同循環次數下導函數在等效特征點處的斜率變化規律，建立鋰離子電池等效循環工況下的壽命退化曲線。選取NASA等效循環電池組和自測JZ等效循環電池組，將放電初期和放電后期曲線與特定斜率直線交點作為等效循環壽命預測的等效特征點，根據這兩組特征點分別建立退化模型Mini和Mlat。最后選取等效循環電池組內的其他電池進行鋰離子電池等效循環壽命預測的驗證。通過鋰離子電池測試數據集驗證其預測精度較高，穩定性較好，具有較強的應用價值。
- 鋰離子電池 /
- 等效循環電池組 /
- 等效特征點 /
- 剩余使用壽命 /
- 循環次數
Abstract: The depletion and environmental pollution associated with traditional fossil energy sources has generated great interest in the development of new energy. Among the kinds of new-energy batteries, lithium-ion batteries have the advantages of small size, high energy density, a long life cycle, zero emissions, and no pollution. These batteries are widely used in many industries and fields, including vehicles. Currently, assessments of the health status of lithium-ion batteries have become a hot research topic. The lithium-ion battery has complex electrochemical characteristics and its capacity tends to degrade with cyclic charges and discharges. When its capacity degrades to the failure threshold (usually 70%–80% of rated capacity), the life of lithium ion battery is considered to have reached an end. Therefore, investigations to better predict the remaining useful life of a lithium-ion battery can help to improve system reliability and prevent accidents. Battery-system health evaluations have important research and application value. In this study, the voltage change curves of the lithium-ion battery were investigated with discharge time under equivalent cycle conditions and different cycle times. By analyzing the slope change rule of the derivative function at an equivalent characteristic point for different cycle times, the life degradation curves of the lithium-ion battery under equivalent cycle conditions were established. Using the NASA and self-test JZ equivalent cycle batteries, the intersection point of the specific-slope straight line and curve at early and late stages of discharge was taken as the equivalent feature points for predicting the equivalent cycle life. Based on these two groups of feature points, Mini and Mlat degradation models were established, respectively. To verify this method, other batteries in the equivalent-cycle battery pack were tested. The results of the test data set validate the prediction accuracy and stability, which has strong application value.
- lithium ion battery /
- equivalent cycle battery pack /
- equivalent feature point /
- remaining useful life /
- cycles

HTML全文

圖 1 B6電池等壓降放電時間?電壓曲線圖

Figure 1. Curves of discharge time and voltage of B6 battery with constant voltage drop

下載: 全尺寸圖片幻燈片

圖 2 B6電池數據處理后等壓降放電時間?電壓曲線圖

Figure 2. Curves of discharge time and voltage of B6 battery with constant voltage drop based on data processing

下載: 全尺寸圖片幻燈片

圖 3 B6電池濾波后時間導函數曲線圖

Figure 3. Time derivative curves of B6 battery after filtering

下載: 全尺寸圖片幻燈片

圖 4 使用B6放電數據建立退化曲線。（a）放電前期數據；（b）放電后期數據

Figure 4. Degradation curves using the B6 discharge data: (a) pre-discharge data; (b) after discharge

下載: 全尺寸圖片幻燈片

圖 5 驗證B6電池濾波后時間一階導函數曲線圖

Figure 5. Validation of the derivative function curves after B6 battery filtering

下載: 全尺寸圖片幻燈片

表 1 驗證退化模型Mini和Mlat壽命預測表（B6）

Table 1. Verification of life predictions with degradation models Mini and Mlat（B6）

Model number	N_ver	e	N_pre	ΔN	δ/%	Model number	N_ver	e	N_pre	ΔN	δ/%
Mini	40	0.816	44	4	2.85	Mlat	40	0.465	41	1	0.71
	85	0.790	92	7	5.00		85	0.440	61	24	17.10
	115	0.782	108	?7	?5.00		115	0.405	95	20	14.30

下載: 導出CSV

表 2 驗證退化模型Mini和Mlat壽命預測表（B5）

Table 2. Verification of the life predictions with degradation models Mini and Mlat（B5）

Model number	N_ver	e	N_pre	ΔN	δ/%	Model number	N_ver	e	N_pre	ΔN	δ/%
Mini	40	0.815	45	5	3.33	Mlat	40	0.4525	49	9	6.00
	65	0.798	73	8	5.33		65	0.4111	88	23	8.00
	95	0.785	102	7	4.67		95	0.3966	105	10	6.67

下載: 導出CSV

表 3 驗證退化模型Mini和Mlat壽命預測表（B7）

Table 3. Verification of the life predictions with degradation models Mini and Mlat（B7）

Model number	N_ver	e	N_pre	ΔN	δ/%	Model number	N_ver	e	N_pre	ΔN	δ/%
Mini	21	0.825	30	9	5.81	Mlat	21	0.445	56	35	22.60
	60	0.799	73	13	8.38		60	0.4338	66	6	3.87
	101	0.780	111	10	6.45		101	0.415	85	?16	?10.32
	141	0.770	130	?11	?7.09		141	0.362	146	5	3.22

下載: 導出CSV

表 4 驗證退化模型Mini和Mlat壽命預測表（JZ-1）

Table 4. Verification of the life predictions with degradation models Mini and Mlat（JZ-1）

Model number	N_ver	e	N_pre	ΔN	δ/%	Model number	N_ver	e	N_pre	ΔN	δ/%
Mini	80	0.855	70	?10	?2.86	Mlat	80	0.315	61	?19	?5.43
	190	0.810	194	4	1.14		190	0.285	202	12	3.43
	250	0.790	267	17	4.86		250	0.280	236	14	4.00

下載: 導出CSV

表 5 驗證退化模型Mini和Mlat壽命預測表（JZ-2，JZ-3）

Table 5. Verification of the life predictions with degradation models Mini and Mlat（JZ-2，JZ-3）

Model number	Battery model	N_ver	e	N_pre	ΔN	δ/%	Model number	Battery model	N_ver	e	N_pre	ΔN	δ/%
Mini	JZ-2	75	0.850	81	6	1.71	Mlat	JZ-2	75	0.320	45	?30	?8.57
		150	0.820	161	11	3.14			150	0.310	80	?70	?20.00
		300	0.785	286	?14	?4.00			300	0.290	175	?125	?35.7
	JZ-3	75	0.856	68	?7	2.00		JZ-3	75	0.330	18	?57	?11.4
		150	0.821	149	?1	?0.28			150	0.320	45	?105	?21.00
		300	0.775	328	28	8.00			300	0.280	236	?64	?12.80
		380	0.780	307	?73	?20.80			380	0.285	204	?176	?35.20

下載: 導出CSV

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