An advanced Lithium-ion battery optimal charging strategy based on a coupled thermoelectric model

Liu, Kailong; Li, Kang; Yang, Zhile; Zhang, Cheng; Deng, Jiankang

doi:10.1016/j.electacta.2016.12.129

Cited by 83 publications

(25 citation statements)

References 33 publications

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“…In Ref. [119], a battery charging cost function with three objectives including charging time, energy loss and temperature rise especially the battery internal temperature is presented based on a coupled thermoelectric model. Then the teaching learning-based optimization (TLBO) method is applied to balance three conflicting objectives, further to obtain an optimal CC-CV pattern for Li-ion battery.…”

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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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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“…However, the Li-ion batteries require a battery management system (BMS) [31], in order to optimize their performances and prevent damages for over-heating or excessive charging [32,33]. In addition, the charging method also affects Li-ion battery performance; for instance, in [34] an advanced charging strategy was proposed for obtaining an optimal constant current constant voltage (CCCV) charging current profile, obtained by optimizing a triple-objective function, namely charging time, energy loss, and temperature increase. In this context, prognostic methods have been developed to determine the health status of the Li-ion battery applied to electric vehicles (EV), and thus maximizing the battery's cycle life and charging/discharging efficiency [35].…”

Section: State Of Art With Respect To the Self-discharge Phenomenon Imentioning

confidence: 99%

Limitations and Characterization of Energy Storage Devices for Harvesting Applications

et al. 2020

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This paper aims to study the limitations and performances of the main energy storage devices commonly used in energy harvesting applications, namely super-capacitors (SC) and lithium polymer (LiPo) batteries. The self-discharge phenomenon is the main limitation to the employment of SCs to store energy for a long time, thus reducing efficiency and autonomy of the energy harvesting system. Therefore, the analysis of self-discharge trends was carried out for three different models of commercial SCs, describing the phenomenon in terms of self-discharge rate and internal resistance. In addition, physical interpretations concerning the self-discharge mechanism based on the experimental data are provided, thus explaining the two super-imposed phenomena featured by distinct time constants. Afterwards, the dependence of self-discharge phenomenon from the charging time duration (namely, SCs charged at 5 V and then kept under charge for one or five hours) was analyzed; by comparing the voltage drop during the self-discharge process, a self-discharge reduction for longer charging durations was obtained and the physical interpretation provided (at best −6.8% after 24 h and −13.4% after 120 h). Finally, self-discharge trends of two commercial 380 mAh LiPo batteries (model LW 752035) were acquired and analyzed; the obtained results show an open circuit voltage reduction of only 0.59% in the first 24 h and just 1.43% after 124 h.

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“…The operation of ES in one time step affects the evolving operation in the other time slots. Therefore, a multistage EED integrated with ES is a strong coupling and dynamic problem in the space-time domain [18,19].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Robust Method for Dynamic Economic Emission Dispatch Incorporating Renewable Energy and Energy Storage

et al. 2018

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In association with the development of intermittent renewable energy generation (REG), dynamic multiobjective dispatch faces more challenges for power system operation due to significant REG uncertainty. To tackle the problems, a day-ahead, optimal dispatch problem incorporating energy storage (ES) is formulated and solved based on a robust multiobjective optimization method. In the proposed model, dynamic multistage ES and generator dispatch patterns are optimized to reduce the cost and emissions. Specifically, strong constraints of the charging/discharging behaviors of the ES in the space-time domain are considered to prolong its lifetime. Additionally, an adaptive robust model based on minimax multiobjective optimization is formulated to find optimal dispatch solutions adapted to uncertain REG changes. Moreover, an effective optimization algorithm, namely, the hybrid multiobjective Particle Swarm Optimization and Teaching Learning Based Optimization (PSO-TLBO), is employed to seek an optimal Pareto front of the proposed dispatch model. This approach has been tested on power system integrated with wind power and ES. Numerical results reveal that the robust multiobjective dispatch model successfully meets the demands of obtaining solutions when wind power uncertainty is considered. Meanwhile, the comparison results demonstrate the competitive performance of the PSO-TLBO method in solving the proposed dispatch problems.

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An advanced Lithium-ion battery optimal charging strategy based on a coupled thermoelectric model

Cited by 83 publications

References 33 publications

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

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

Limitations and Characterization of Energy Storage Devices for Harvesting Applications

Adaptive Robust Method for Dynamic Economic Emission Dispatch Incorporating Renewable Energy and Energy Storage

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