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CLC number: TM912

On-line Access: 2018-10-08

Received: 2017-12-05

Revision Accepted: 2018-05-11

Crosschecked: 2018-09-21

Cited: 0

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Citations:  Bibtex RefMan EndNote GB/T7714


Chang-wen Zheng


Zi-qiang Chen


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Journal of Zhejiang University SCIENCE A 2018 Vol.19 No.10 P.774-785


Influence of deep sea environment on the performance of a LiFePO4 polymer battery

Author(s):  Chang-wen Zheng, Shi-yao Zhou, Zi-qiang Chen, Yun-long Ge, De-yang Huang, Jian Liu, Qi Yang

Affiliation(s):  Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, Shanghai Jiao Tong University, Shanghai 200240, China; more

Corresponding email(s):   chenziqiang@sjtu.edu.cn

Key Words:  Lithium polymer battery performance, Deep sea environment, State of charge (SoC) estimation, Autonomous remote vehicle (ARV)

Chang-wen Zheng, Shi-yao Zhou, Zi-qiang Chen, Yun-long Ge, De-yang Huang, Jian Liu, Qi Yang. Influence of deep sea environment on the performance of a LiFePO4 polymer battery[J]. Journal of Zhejiang University Science A, 2018, 19(10): 774-785.

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author="Chang-wen Zheng, Shi-yao Zhou, Zi-qiang Chen, Yun-long Ge, De-yang Huang, Jian Liu, Qi Yang",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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%T Influence of deep sea environment on the performance of a LiFePO4 polymer battery
%A Chang-wen Zheng
%A Shi-yao Zhou
%A Zi-qiang Chen
%A Yun-long Ge
%A De-yang Huang
%A Jian Liu
%A Qi Yang
%J Journal of Zhejiang University SCIENCE A
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%N 10
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%@ 1673-565X
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1700660

T1 - Influence of deep sea environment on the performance of a LiFePO4 polymer battery
A1 - Chang-wen Zheng
A1 - Shi-yao Zhou
A1 - Zi-qiang Chen
A1 - Yun-long Ge
A1 - De-yang Huang
A1 - Jian Liu
A1 - Qi Yang
J0 - Journal of Zhejiang University Science A
VL - 19
IS - 10
SP - 774
EP - 785
%@ 1673-565X
Y1 - 2018
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1700660

A lithium-ion polymer battery cell is an ideal energy source for underwater vehicles due to its high energy density and small volume. However, the performance of lithium-ion batteries in a 10 000 m deep sea is still unknown and is of particular concern in the design of 10 000 m autonomous remote vehicles (ARVs). In this paper, we explore how the external characterizing parameters of a LiFePO4 polymer battery during discharge are affected by a high pressure of 100 MPa and low temperature of 3 °C for simulating the conditions experienced in a 10 000 m deep sea environment. An unscented Kalman filter (UKF) algorithm is applied to estimate the state of charge (SoC) of a battery to investigate the influence of high hydrostatic pressure on SoC estimation due to changes in parameters. The results indicate that the LiFePO4 polymer battery works under 100 MPa hydrostatic pressure, but its parameters change obviously and influence SoC estimation. SoC estimation accuracy was improved through compensating the functions of open circuit voltage (OCV) versus the state of charge (OCV-SoC) of the battery in a 100 MPa hydrostatic pressure and a low temperature environment.

This work is interesting and relevant. The manuscript is in general well written and well organized. Implementation of the employed estimation algorithm on an experimental platform is very appreciated and the obtained results are convincing.


创新点:1. 通过压力桶和恒温箱模拟万米深海高压低温环境; 2. 通过实验计算环境对电池模型参数的影响; 3. 利用UPF算法对电池SoC进行估计并根据环境影响情况对开路电压(OCV)和SoC的关系进行补偿.
方法:1. 建立等效电路模型,建立电池系统状态空间方程(公式(1)~(16)); 2. 通过混合功率脉冲测试(HPPC)对处于模拟深海环境中的电池进行等效电路模型参数辨识(图6); 3. 通过对OCV-SoC关系进行补偿得到低温高压环境下电池的OCV-SoC关系式(公式(17)和(18)); 4. 利用无迹卡尔曼滤波算法对常温常压环境和低温高压环境中的电池SoC进行估计(图8).
结论:1. FeLiPO4聚合物锂离子电池能够在深海环境中正常使用,但深海环境的高压低温特性会对电池参数本身产生影响; 2. 由于电池参数受高压低温 特性的影响,SoC的估计误差会变大; 3. 通过对OCV-SoC关系的补偿能够在一定程度上提高电池SoC的估计精度,从而减小由于参数变化带来的估计误差.

关键词:锂离子聚合物电池性能;深海环境;剩余电量 估计;自治;自治遥控潜水器

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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