A new battery capacity indicator for nickel-metal hydride battery powered electric vehicles using adaptive neuro-fuzzy inference system

K.T. Chau; K.C. Wu; C.C. Chan; W.X. Shen

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A new battery capacity indicator for nickel-metal hydride battery powered electric vehicles using adaptive neuro-fuzzy inference system

机译：使用自适应神经模糊推理系统的新型镍氢电池动力汽车电池容量指示器

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摘要

This paper describes a new approach to estimate accurately the battery residual capacity (BRC) of the nickel-metal hydride (Ni-MH) battery for modern electric vehicles (EVs). The key to this approach is to model the Ni-MH battery in EVs by using the adaptive neuro-fuzzy inference system (ANFIS) with newly defined inputs and output. The inputs are the temperature and the discharged capacity distribution describing the discharge current profile, while the output is the state of available capacity (SOAC) representing the BRC. The estimated SOAC from ANFIS model and the measured SOAC from experiments are compared, and the results confirm that the proposed approach can provide an accurate estimation of the SOAC under variable discharge currents.

机译：本文介绍了一种新方法，可以准确估算现代电动汽车（EV）的镍氢（Ni-MH）电池的电池剩余容量（BRC）。该方法的关键是通过使用具有新定义的输入和输出的自适应神经模糊推理系统（ANFIS）对电动汽车中的镍氢电池建模。输入是描述放电电流曲线的温度和放电容量分布，而输出是代表BRC的可用容量（SOAC）状态。比较了从ANFIS模型估计的SOAC和从实验测量的SOAC，结果证实了该方法可以在可变放电电流下提供SOAC的准确估计。

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来源
《Energy Conversion & Management》 |2003年第13期|p.2059-2071|共13页
作者
K.T. Chau; K.C. Wu; C.C. Chan; W.X. Shen;
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作者单位

Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类能源与动力工程;
关键词
adaptive neuro-fuzzy inference system; battery residual capacity; electric vehicles; nickel-metal hydride battery; state of available capacity;

机译：自适应神经模糊推理系统;电池剩余容量;电动汽车;镍氢电池;可用容量状态;

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专利

1. A new battery capacity indicator for lithium-ion battery powered electric vehicles using adaptive neuro-fuzzy inference system [J] . K.T. Chau, K.C. Wu, C.C. Chan Energy Conversion & Management . 2004,第11a12期

机译：使用自适应神经模糊推理系统的新型锂离子电池驱动电动汽车电池电量指示器
2. Neural Network-Based Residual Capacity Indicator for Nickel-Metal Hydride Batteries in Electric Vehicles [J] . W. X. Shen, K. T. Chau, C. C. Chan, IEEE Transactions on Vehicular Technology . 2005,第5期

机译：基于神经网络的电动汽车镍氢电池剩余容量指示器
3. ANFIS (adaptive neuro-fuzzy inference system) based online SOC (State of Charge) correction considering cell divergence for the EV (electric vehicle) traction batteries [J] . Dai Haifeng, Guo Pingjing, Wei Xuezhe, Energy . 2015,第FEBa1期

机译：基于ANFIS（自适应神经模糊推理系统）的在线SOC（充电状态）校正，考虑了EV（电动汽车）牵引电池的电池散度
4. Advanced Ovonic high-power nickel-metal hydride batteries for hybrid electric vehicle applications [C] . Menjak, I., Gow, . 1998

机译：先进的Ovonic大功率镍金属氢化物电池，用于混合动力电动汽车应用
5. A multi-port power electronics interface for battery powered electric vehicles: Application of inductively coupled wireless power transfer and hybrid energy storage system. [D] . McDonough, Matthew Kelly. 2014

机译：电池供电电动汽车的多端口电力电子接口：感应耦合无线功率传输和混合能量存储系统的应用。
6. Design of Hydrogen Storage Alloys/Nanoporous Metals Hybrid Electrodes for Nickel-Metal Hydride Batteries [O] . M. M. Li, C. C. Yang, C. C. Wang, -1

机译：镍金属氢化物电池的储氢合金/纳米孔金属混合电极的设计
7. Neural network-based residual capacity indicator for nickel-metal hydride batteries in electric vehicles [O] . Lo EWC, Chau KT, Shen WX, 2005

机译：基于神经网络的电动汽车用镍氢电池剩余容量指标
8. Capacity and Peak Power Degradation of Lead-Acid Battery under Simulated Electric Vehicle Operations [R] . Lee, J. , Tummillo, A. F. , Miller, J. F. , 1986

机译：模拟电动汽车操作中铅酸蓄电池的容量和峰值功率降低

A new battery capacity indicator for nickel-metal hydride battery powered electric vehicles using adaptive neuro-fuzzy inference system

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