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波动泵式左心室辅助装置植入式电池系统热分布的数值估计

Numerical estimation of heat distribution from the implantable battery system of an undulation pump LVAD.

作者信息

Okamoto Eiji, Makino Tsutomu, Nakamura Masatoshi, Tanaka Shuji, Chinzei Tsuneo, Abe Yusuke, Isoyama Takashi, Saito Itsuro, Mochizuki Shu-ichi, Imachi Kou, Inoue Yusuke, Mitamura Yoshinori

机构信息

School of Engineering, Hokkaido Tokai University, 5-1-1-1 Minami-sawa, Sapporo 005-8601, Japan.

出版信息

J Artif Organs. 2006;9(2):77-83. doi: 10.1007/s10047-006-0330-7.

Abstract

We have been developing an implantable battery system using three series-connected lithium ion batteries having an energy capacity of 1,800 mAh to drive an undulation pump left ventricular assist device. However, the lithium ion battery undergoes an exothermic reaction during the discharge phase, and the temperature rise of the lithium ion battery is a critical issue for implantation usage. Heat generation in the lithium ion battery depends on the intensity of the discharge current, and we obtained a relationship between the heat flow from the lithium ion battery q(c)(I) and the intensity of the discharge current I as q(c)(I) = 0.63 x I (W) in in vitro experiments. The temperature distribution of the implantable battery system was estimated by means of three-dimentional finite-element method (FEM) heat transfer analysis using the heat flow function q(c)(I), and we also measured the temperature rise of the implantable battery system in in vitro experiments to conduct verification of the estimation. The maximum temperatures of the lithium ion battery and the implantable battery case were measured as 52.2 degrees C and 41.1 degrees C, respectively. The estimated result of temperature distribution of the implantable battery system agreed well with the measured results using thermography. In conclusion, FEM heat transfer analysis is promising as a tool to estimate the temperature of the implantable lithium ion battery system under any pump current without the need for animal experiments, and it is a convenient tool for optimization of heat transfer characteristics of the implantable battery system.

摘要

我们一直在研发一种可植入电池系统,该系统使用三个串联的锂离子电池,能量容量为1800毫安时,用于驱动波动泵左心室辅助装置。然而,锂离子电池在放电阶段会发生放热反应,锂离子电池的温度升高是植入使用中的一个关键问题。锂离子电池中的发热取决于放电电流的强度,并且我们在体外实验中得出了从锂离子电池流出的热流q(c)(I)与放电电流I之间的关系为q(c)(I)=0.63×I(瓦)。利用热流函数q(c)(I),通过三维有限元法(FEM)传热分析估算了可植入电池系统的温度分布,并且我们还在体外实验中测量了可植入电池系统的温度升高情况,以对估算进行验证。锂离子电池和可植入电池外壳的最高温度分别测量为52.2摄氏度和41.1摄氏度。可植入电池系统温度分布的估算结果与使用热成像法的测量结果吻合良好。总之,有限元法传热分析有望成为一种无需动物实验就能估算任何泵电流下可植入锂离子电池系统温度的工具,并且它是优化可植入电池系统传热特性的便捷工具。

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