Multi-Objective Optimal Charging Method for Lithium-Ion Batteries

Wu, Xiaogang; Shi, Wenwen; Du, Jiuyu

doi:10.3390/en10091271

Cited by 26 publications

(8 citation statements)

References 35 publications

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“…The DP method is generally adopted to optimize battery charging profiles based on the proper battery models [132,133]. Since DP method is capable of examining sub-problems and combining the decisions to further obtain the best solution, both non-linear and time varying parameters in battery models can be accepted by DP method, thus DP becomes one of the most flexible methods to search battery charging profiles.…”

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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“…Charging optimisation topics have been studied in previous projects. Some studies utilise Dynamic Programming (DP) [45,46], Multi-Objective Particle Swarm Optimisation (MOPSO) [47], Genetic Algorithm (GA) [48] or heuristic method [49] to define an optimal way to define the charging profile considering different parameters: charging duration, efficiency, charging voltage, Each vehicle has its own trendline defined using its own data; therefore, an assumption of having one unique driver per vehicle is made, and the average consumption is tailored for each vehicle. This is a way to consider somehow the driving style, as an aggressive driving style leads to higher consumption as compared to a calm driving style.…”

Section: Charging Optimisationmentioning

confidence: 99%

“…Charging optimisation topics have been studied in previous projects. Some studies utilise Dynamic Programming (DP) [45,46], Multi-Objective Particle Swarm Optimisation (MOPSO) [47], Genetic Algorithm (GA) [48] or heuristic method [49] to define an optimal way to define the charging profile considering different parameters: charging duration, efficiency, charging voltage, Charging optimisation topics have been studied in previous projects. Some studies utilise Dynamic Programming (DP) [45,46], Multi-Objective Particle Swarm Optimisation (MOPSO) [47], Genetic Algorithm (GA) [48] or heuristic method [49] to define an optimal way to define the charging profile considering different parameters: charging duration, efficiency, charging voltage, temperature, grid operation cost, etc.…”

Section: Charging Optimisationmentioning

confidence: 99%

Cloud-Based Big Data Platform for Vehicle-to-Grid (V2G)

Grée¹,

Laznikova²,

Kim³

et al. 2020

WEVJ

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Battery Electric Vehicles (BEVs) have increasingly become prevalent over the past years. BEVs can be regarded as a grid load and as a way to support the grid (energy buffering), provided this extensive battery usage does not affect the BEV’s performance. Data from both the vehicle and the grid are required for effective Vehicle-to-Grid (V2G) implementation. As such, a cloud-based big data platform is proposed in this paper to exploit these data. Additionally, this study aims to develop smart algorithms, which optimise different factors, including BEV cost of ownership and battery degradation. Dashboards are developed to provide key information to different V2G stakeholders.

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“…On the other hand, studies on the charging method have been actively carried out for efficient and stable charging of Li-ion batteries [7][8][9][10][11][12]. In Ref.…”

Section: Introductionmentioning

confidence: 99%

“…Another previous study [8] proposed a method of detecting the lowest impedance of a battery and charging it with a pulse of the corresponding frequency for quick charging. Other previous studies [10][11][12] established the equivalent circuit model of the battery and proposed the optimal charging pattern. However, the above methods have limitations in terms of cost, volume, and the complexity to be applied to the battery charger.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Current-Voltage Compensator Design Method for Stable Constant Voltage and Current Source Operation of LLC Resonant Converters

et al. 2018

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This paper proposes a method to charge a lithium ion battery with an integrated compensator. Unlike the conventional charging method which uses separate voltage/current compensators based on a constant voltage-constant current charge profile, the proposed method uses a single compensator. The conventional method requires a complicated design process such as separate plant modeling for compensator design and the compensator tuning process in the frequency domain. Moreover, it has the disadvantage of a transient state between the mode change. However, the proposed method simplifies the complicated process and eliminates the transient response. The proposed compensator is applied to the LLC resonant converter and is designed to provide smooth and reliable performance during the entire charging process. In this paper, for the compensator design, the frequency domain models of the LLC resonant converter at the constant voltage and constant current charging mode are derived including the impedance model of the battery pack. Additionally, the worst condition of the compensator design during the entire charging process is considered. To demonstrate the effectiveness of the proposed method, the theoretical design procedure is presented in this paper, and it is verified through experimental results using a 300 W LLC converter and battery pack.

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Multi-Objective Optimal Charging Method for Lithium-Ion Batteries

Cited by 26 publications

References 35 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

Cloud-Based Big Data Platform for Vehicle-to-Grid (V2G)

An Integrated Current-Voltage Compensator Design Method for Stable Constant Voltage and Current Source Operation of LLC Resonant Converters

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