Journal ArticleDOI
Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles
TLDR
In this paper, a battery management system (BMS) for the smart grid and electric vehicles (EVs) has been proposed to improve the performance of Li-ion batteries.Abstract:
With the rapidly evolving technology of the smart grid and electric vehicles (EVs), the battery has emerged as the most prominent energy storage device, attracting a significant amount of attention. The very recent discussions about the performance of lithium-ion (Li-ion) batteries in the Boeing 787 have confirmed so far that, while battery technology is growing very quickly, developing cells with higher power and energy densities, it is equally important to improve the performance of the battery management system (BMS) to make the battery a safe, reliable, and cost-efficient solution. The specific characteristics and needs of the smart grid and EVs, such as deep charge/discharge protection and accurate state-of-charge (SOC) and state-of-health (SOH) estimation, intensify the need for a more efficient BMS. The BMS should contain accurate algorithms to measure and estimate the functional status of the battery and, at the same time, be equipped with state-of-the-art mechanisms to protect the battery from hazardous and inefficient operating conditions.read more
Citations
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Journal ArticleDOI
Review of energy storage systems for electric vehicle applications: Issues and challenges
TL;DR: In this paper, the authors comprehensively review technologies of ESSs, its classifications, characteristics, constructions, electricity conversion, and evaluation processes with advantages and disadvantages for EV applications.
Journal ArticleDOI
A critical review of battery thermal performance and liquid based battery thermal management
TL;DR: In this article, the effects of temperature on the battery performance from three aspects: low temperature, high temperature and differential temperature are discussed with the main emphasis on battery modeling methods and thermal management strategies.
Journal ArticleDOI
A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems
TL;DR: In this article, a systematic review of the most commonly used battery modeling and state estimation approaches for BMSs is presented, including the physics-based electrochemical models, the integral and fractional order equivalent circuit models, and data-driven models.
Journal ArticleDOI
State-of-the-Art and Energy Management System of Lithium-Ion Batteries in Electric Vehicle Applications: Issues and Recommendations
TL;DR: This review will hopefully lead to increasing efforts toward the development of an advanced Li-ion battery in terms of economics, longevity, specific power, energy density, safety, and performance in vehicle applications.
Journal ArticleDOI
Current Li-Ion Battery Technologies in Electric Vehicles and Opportunities for Advancements
TL;DR: In this paper, the authors present and compare key components of Li-ion batteries and describe associated battery management systems, as well as approaches to improve the overall battery efficiency, capacity, and lifespan.
References
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Journal ArticleDOI
Ageing mechanisms in lithium-ion batteries
Jens Vetter,Petr Novák,Markus Robert Wagner,Claudia Veit,Kai-Christian Möller,Jürgen Besenhard,Martin Winter,Margret Wohlfahrt-Mehrens,C Vogler,Abderrezak Hammouche +9 more
TL;DR: In this article, the mechanisms of lithium-ion battery ageing are reviewed and evaluated, and the most promising candidate as the power source for (hybrid) electric vehicles and stationary energy storage.
Journal ArticleDOI
Accurate electrical battery model capable of predicting runtime and I-V performance
Min Chen,Gabriel A. Rincon-Mora +1 more
TL;DR: An accurate, intuitive, and comprehensive electrical battery model is proposed and implemented in a Cadence environment that accounts for all dynamic characteristics of the battery, from nonlinear open-circuit voltage, current-, temperature-, cycle number-, and storage time-dependent capacity to transient response.
Journal ArticleDOI
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification
TL;DR: In this article, an extended Kalman filter (EKF) was used to estimate the battery state of charge, power fade, capacity fade, and instantaneous available power of a hybrid electric vehicle battery pack.
Journal ArticleDOI
Battery, Ultracapacitor, Fuel Cell, and Hybrid Energy Storage Systems for Electric, Hybrid Electric, Fuel Cell, and Plug-In Hybrid Electric Vehicles: State of the Art
Alireza Khaligh,Zhihao Li +1 more
TL;DR: In this paper, the authors present state-of-the-art energy storage topologies for hybrid electric vehicles and plug-in hybrid vehicles (PHEVs) and compare battery, UC, and fuel cell technologies.
Journal ArticleDOI
Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
TL;DR: In this paper, a smart estimation method based on coulomb counting is proposed to improve the estimation accuracy for state-of-charge (SOC) estimation of lithium-ion batteries with high charging and discharging efficiencies.
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