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Study on the Optimal Charging Strategy for Lithium-Ion Batteries Used in Electric Vehicles

Zhang, Shuo; Zhang, Chengning; Xiong, Rui; Zhou, Wei - In: Energies 7 (2014) 10, pp. 6783-6797

The charging method of lithium-ion batteries used in electric vehicles (EVs) significantly affects its commercial application. This paper aims to make three contributions to the existing literature. (1) In order to achieve an efficient charging strategy for lithium-ion batteries with shorter...

Persistent link: https://www.econbiz.de/10010945713

Estimation of State of Charge for Two Types of Lithium-Ion Batteries by Nonlinear Predictive Filter for Electric Vehicles

Hua, Yin; Xu, Min; Li, Mian; Ma, Chengbin; Zhao, Chen - In: Energies 8 (2015) 5, pp. 3556-3577

Estimation of state of charge (SOC) is of great importance for lithium-ion (Li-ion) batteries used in electric vehicles. This paper presents a state of charge estimation method using nonlinear predictive filter (NPF) and evaluates the proposed method on the lithium-ion batteries with different...

Persistent link: https://www.econbiz.de/10011268486

Experimental Study on a Passive Fuel Cell/Battery Hybrid Power System

Chen, Yong-Song; Lin, Sheng-Miao; Hong, Boe-Shong - In: Energies 6 (2013) 12, pp. 6413-6422

A laboratory-scale passive hybrid power system for transportation applications is constructed and tested in this study. The hybrid power system consists of a fuel cell stack connected with a diode, a lithium-ion battery pack connected with a DC/DC power converter and another diode. The power...

Persistent link: https://www.econbiz.de/10010721531

Estimation of State of Charge of a Lithium-Ion Battery Pack for Electric Vehicles Using an Adaptive Luenberger Observer

Hu, Xiaosong; Sun, Fengchun; Zou, Yuan - In: Energies 3 (2010) 9, pp. 1586-1603

In order to safely and efficiently use the power as well as to extend the lifetime of the traction battery pack, accurate estimation of State of Charge (SoC) is very important and necessary. This paper presents an adaptive observer-based technique for estimating SoC of a lithium-ion battery pack...

Persistent link: https://www.econbiz.de/10010668056

Online Estimation of Peak Power Capability of Li-Ion Batteries in Electric Vehicles by a Hardware-in-Loop Approach

Xiong, Rui; He, Hongwen; Sun, Fengchun; Zhao, Kai - In: Energies 5 (2012) 5, pp. 1455-1469

Battery peak power capability estimations play an important theoretical role for the proper use of the battery in electric vehicles. To address the failures in relaxation effects and real-time ability performance, neglecting the battery’s design limits and other issues of the traditional peak...

Persistent link: https://www.econbiz.de/10010668128

Online Semiparametric Identification of Lithium-Ion Batteries Using the Wavelet-Based Partially Linear Battery Model

Mu, Dazhong; Jiang, Jiuchun; Zhang, Caiping - In: Energies 6 (2013) 5, pp. 2583-2604

Battery model identification is very important for reliable battery management as well as for battery system design process. The common problem in identifying battery models is how to determine the most appropriate mathematical model structure and parameterized coefficients based on the measured...

Persistent link: https://www.econbiz.de/10010668157

Battery Management Systems in Electric and Hybrid Vehicles

Xing, Yinjiao; Ma, Eden W. M.; Tsui, Kwok L.; Pecht, Michael - In: Energies 4 (2011) 11, pp. 1840-1857

monitoring and evaluation, charge control, and cell balancing are functionalities that have been implemented in BMS. As an … BMSs. State evaluation of a battery, including state of charge, state of health, and state of life, is a critical task for … a BMS. Through reviewing the latest methodologies for the state evaluation of batteries, the future challenges for BMSs …

Persistent link: https://www.econbiz.de/10010676022

Satellite Lithium-Ion Battery Remaining Cycle Life Prediction with Novel Indirect Health Indicator Extraction

Liu, Datong; Wang, Hong; Peng, Yu; Xie, Wei; Liao, Haitao - In: Energies 6 (2013) 8, pp. 3654-3668

Prognostics and remaining useful life (RUL) estimation for lithium-ion batteries play an important role in intelligent battery management systems (BMS). The capacity is often used as the fade indicator for estimating the remaining cycle life of a lithium-ion battery. For spacecraft requiring...

Persistent link: https://www.econbiz.de/10010681056

Three-Dimensional Modeling of the Thermal Behavior of a Lithium-Ion Battery Module for Hybrid Electric Vehicle Applications

Yi, Jaeshin; Koo, Boram; Shin, Chee Burm - In: Energies 7 (2014) 11, pp. 7586-7601

This paper reports a modeling methodology to predict the effects of operating conditions on the thermal behavior of a lithium-ion battery (LIB) module. The potential and current density distributions on the electrodes of an LIB cell are predicted as a function of discharge time based on the...

Persistent link: https://www.econbiz.de/10011075175

Comparison Study on Two Model-Based Adaptive Algorithms for SOC Estimation of Lithium-Ion Batteries in Electric Vehicles

Tian, Yong; Xia, Bizhong; Wang, Mingwang; Sun, Wei; Xu, … - In: Energies 7 (2014) 12, pp. 8446-8464

State of charge (SOC) estimation is essential to battery management systems in electric vehicles (EVs) to ensure the safe operations of batteries and providing drivers with the remaining range of the EVs. A number of estimation algorithms have been developed to get an accurate SOC value because...

Persistent link: https://www.econbiz.de/10011099346