Design of Battery Management System for an Autonomous Underwater Vehicle

被引：3

作者：

Harakare, Aditya ^{[1
]}

Barhate, Nayan ^{[1
]}

Randad, Nakul ^{[1
]}

Varghese, Andrews George ^{[1
]}

Gupta, Ayushi ^{[1
]}

Dave, Parvik ^{[1
]}

Modi, Shiv ^{[1
]}

Shrivastava, Aayush ^{[1
]}

Khare, Lyric ^{[1
]}

Raj, Sarthak ^{[1
]}

机构：

[1] Indian Inst Technol, AUV IITB, Mumbai, Maharashtra, India

来源：

OCEANS 2022 | 2022年

关键词：

Battery Management System (BMS); Battery Swap; Autonomous Vehicles; State of Charge (SoC); Protection Circuits; STATE;

D O I：

10.1109/OCEANSChennai45887.2022.9775282

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

Energy Storage systems (ESS) have become an important aspect in the arena of electrical distribution. The capability to monitor, control and optimize the performance of battery modules has become a crucial part of such systems. This paper presents a method to create a Battery Management System compatible with an underwater set-up. The model consists of Lithium-Polymer (LiPo) batteries and uses State of Charge (SoC) estimation method to determine the battery characteristics. It also protects batteries from overcharging, over-discharging and overheating. Further, the BMS design offers passive cell balancing and incorporates swapping in case of over-usage of one of the battery module.

引用

页数：6

共 11 条

[1]

Arendarik Stanislav, ACTIVE CELL BALANCIN

[2]

Baccouche I, 2018, INT J RENEW ENERGY R, V8, P178

[3]

Barsukov Yevgen, 2021, BATTERY CELL BALANCI

[4] System design of underwater battery power system for marine and offshore industry [J].

Chin, Cheng Siong ;

Jia, Junbo ;

Chiew, Joel Hay King ;

Da Toh, Wei ;

Gao, Zuchang ;

Zhang, Caizhi ;

McCann, John .

JOURNAL OF ENERGY STORAGE, 2019, 21 :724-740

[5]

Fathoni G, 2017, PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON AUTOMATION, COGNITIVE SCIENCE, OPTICS, MICRO ELECTRO-MECHANICAL SYSTEM, AND INFORMATION TECHNOLOGY (ICACOMIT), P70, DOI 10.1109/ICACOMIT.2017.8253389

[6]

Ismail M, 2017, IEEE TRANSP ELECT C, P342, DOI 10.1109/ITEC.2017.7993295

[7] Lithium Polymer Battery State-of-Charge Estimation Based on Adaptive Unscented Kalman Filter and Support Vector Machine [J].

Meng, Jinhao ;

Luo, Guangzhao ;

Gao, Fei .

IEEE TRANSACTIONS ON POWER ELECTRONICS, 2016, 31 (03) :2226-2238

[8]

Nork S, ACTIVE BATTERY CELL

[9]

Scott K., PASSIVE BATTERY CELL

[10]

Texas Instruments, INTR BQ76942 BQ76952

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