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Journal ArticleDOI

Lithium-ion battery charging management considering economic costs of electrical energy loss and battery degradation

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TLDR
Numerical results of two extreme cases and several balanced charging cases demonstrate that feasible, economy-conscious battery charging management for various user demands can be achieved through suitable equilibrations among charging speed and thermal variations during charging.
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This article is published in Energy Conversion and Management.The article was published on 2019-09-01. It has received 164 citations till now. The article focuses on the topics: Battery (electricity) & Electric vehicle.

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Citations
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Journal ArticleDOI

Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

TL;DR: This review categorises data-driven battery health estimation methods according to their underlying models/algorithms and discusses their advantages and limitations, then focuses on challenges of real-time battery health management and discuss potential next-generation techniques.
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

Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-Ion Batteries

TL;DR: Li et al. as mentioned in this paper developed a machine-learning-enabled data-driven models for effective capacity predictions for lithium-ion (Li-ion) batteries under different cyclic conditions, which is able to achieve satisfactory results for both one-step and multistep predictions.
Journal ArticleDOI

A review on recent progress, challenges and perspective of battery thermal management system

TL;DR: A novel digital solution for full-lifespan thermal management control of EV power system based on CHAIN framework that helps improve the power battery temperature control strategy applying multiple working conditions is proposed.
Journal ArticleDOI

Co-estimation of lithium-ion battery state of charge and state of temperature based on a hybrid electrochemical-thermal-neural-network model

TL;DR: Experimental results illustrate that proposed ETNN-UKF can rapidly eliminate initial errors and provide satisfactory co-estimation performance, and a neural network is incorporated to enhance the performance of sub-models.
References
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Journal ArticleDOI

A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations

TL;DR: In this article, a comprehensive review of the battery state of charge estimation and its management system for the sustainable future electric vehicles (EVs) applications is presented, which can guarantee a reliable and safe operation and assess the battery SOC.
Book ChapterDOI

Multi-objective Optimization

TL;DR: This chapter discusses the fundamental principles of multi-objective optimization, the differences between multi-Objective optimization and single-objectives optimization, and describes a few well-known classical and evolutionary algorithms for multi- objective optimization.
Journal ArticleDOI

Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles

TL;DR: 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.
Journal ArticleDOI

Thermal issues about Li-ion batteries and recent progress in battery thermal management systems: A review

TL;DR: In this paper, Li-ion battery thermal management systems (BTMSs) including the air, liquid, boiling, heat pipe and solid-liquid phase change based strategies are discussed.
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.
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