Charging optimization in lithium-ion batteries based on temperature rise and charge time

Zhang, Caiping; Jiang, Jiuchun; Gao, Yang; Zhang, Weige; Liu, Qiujiang; Hu, Xiaosong

doi:10.1016/j.apenergy.2016.10.059

Cited by 195 publications

(61 citation statements)

References 31 publications

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“…The current-level of the current source by the SS-WPT can be adjusted variously by changing the output voltage of AC-DC converter, as analyzed in Equation (8). From this, it is noted that most other charging techniques such as constant power charging [21][22][23][24], boost charging [25], varying current decay [26], and optimal charging based on temperature rise and charge time [27] can be implemented easily by the use of the proposed system.…”

Section: Other Charging Profilementioning

confidence: 99%

An Improved Wireless Battery Charging System

et al. 2018

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This paper presents a direct wireless battery charging system. The output current of the series-series compensated wireless power transfer (SS-WPT) system is used as a current source, and the output voltage of AC-DC converter controls the current source. Therefore, the proposed wireless battery charging system needs no battery charging circuit to carry out charging profiles, and can solve space constraints and thermal problems in many battery applications. In addition, the proposed wireless battery charging system can implement easily most other charging profiles. In this paper, the proposed wireless battery charging system is implemented and the feasibility is verified experimentally according to constant-current constant-voltage charging profile or multi-step current charging profile.

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Section: Other Charging Profilementioning

confidence: 99%

An Improved Wireless Battery Charging System

et al. 2018

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“…Nevertheless, influences of battery temperature and aging on the parameters of battery model need to be further studied to improve prediction accuracy. For evolutionary algorithm [137,138], it can effectively search the charging profiles especially in the situations that some charging problems have no theoretical foundations. But the computation cost in evolutionary algorithm is usually too large.…”

Section: Optimization Of Battery Charging Approachmentioning

confidence: 99%

A brief review on key technologies in the battery management system of electric vehicles

et al. 2018

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Batteries have been widely applied in many high-power applications, such as electric vehicles (EVs) and hybrid electric vehicles, where a suitable battery management system (BMS) is vital in ensuring safe and reliable operation of batteries. This paper aims to give a brief review on several key technologies of BMS, including battery modelling, state estimation and battery charging. First, popular battery types used in EVs are surveyed, followed by the introduction of key technologies used in BMS. Various battery models, including the electric model, thermal model and coupled electro-thermal model are reviewed. Then, battery state estimations for the state of charge, state of health and internal temperature are comprehensively surveyed. Finally, several key and traditional battery charging approaches with associated optimization methods are discussed.

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“…Battery charging controllers with fast-charging operation have also been reported in the literature [9,10]. Notwithstanding a decreased charging time, when using LiBs with high-current rate profiles for fast-charging applications, the battery system may undergo a global temperature rise, which if not controlled can lead to possible ruptures, ignition, or even explosion of LiBs [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Combining an Electrothermal and Impedance Aging Model to Investigate Thermal Degradation Caused by Fast Charging

et al. 2018

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Fast charging is an exciting topic in the field of electric and hybrid electric vehicles (EVs/HEVs). In order to achieve faster charging times, fast-charging applications involve high-current profiles which can lead to high cell temperature increase, and in some cases thermal runaways. There has been some research on the impact caused by fast-charging profiles. This research is mostly focused on the electrical, thermal and aging aspects of the cell individually, but these factors are never treated together. In this paper, the thermal progression of the lithium-ion battery under specific fast-charging profiles is investigated and modeled. The cell is a Lithium Nickel Manganese Cobalt Oxide/graphite-based cell (NMC) rated at 20 Ah, and thermal images during fast-charging have been taken at four degradation states: 100%, 90%, 85%, and 80% State-of-Health (SoH). A semi-empirical resistance aging model is developed using gathered data from extensive cycling and calendar aging tests, which is coupled to an electrothermal model. This novel combined model achieves good agreement with the measurements, with simulation results always within 2°C of the measured values. This study presents a modeling methodology that is usable to predict the potential temperature distribution for lithium-ion batteries (LiBs) during fast-charging profiles at different aging states, which would be of benefit for Battery Management Systems (BMS) in future thermal strategies.

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Charging optimization in lithium-ion batteries based on temperature rise and charge time

Cited by 195 publications

References 31 publications

An Improved Wireless Battery Charging System

An Improved Wireless Battery Charging System

A brief review on key technologies in the battery management system of electric vehicles

Combining an Electrothermal and Impedance Aging Model to Investigate Thermal Degradation Caused by Fast Charging

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