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A Method for Adaptiving Intelligent Charging of Lithium-Ion Battery in Electric Vehicles Considering intrests of Consumers and Distribution Network Exploitation Company
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Hossien Dehghan   , Javad Shokrolahi , Alireza Khoshsoadat |
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Abstract: (249 Views) |
In many studies related to electric vehicle charging, the charging station rate is either assumed to be a constant or a continuous value. While the mechanism of charging stations is not like this. The most common methods of charging lithium-ion batteries are the constant voltage-constant current, multi-stage, pulse or adaptive method. As far as the researchers of this article are concerned, little research has been done on the coordinated charging of electric vehicles, considering the technical details of the battery charging method and the nonlinear behavior of the vehicle battery at charge levels and charge rates. Although this idealistic view simplifies synchronized charge optimization, in practice it leads to increased internal battery losses, reduced battery life, damage to the charger, and a large discrepancy between simulation results and practical implementation. With the increasing penetration of electric vehicles, the need for practical charging methods has increased. In this paper, first, the adaptive current charging method of a lithium-ion battery is modeled, in which the charge current is changed inversely to the battery internal resistance in each state of charge interval to obtain the lowest battery losses. This model is then used for coordinated charging of electric vehicles, taking into account the interests of customers (reducing total charging costs) and the distribution network operation company (peak-shaving) in a real 37-bus network. The results show the efficiency of the proposed model in internal losses minimization of vehicle batteries, the total charging cost reduction and peak shaving of the network.
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| Keywords: Adaptive charging of the lithium-ion battery, smart coordinated charging of electric vehicles, battery internal losses, peak-shaving. |
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Full-Text [PDF 1163 kb]
(68 Downloads)
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Type of Study: Research |
Subject:
Substance Energy Technologies
Received: 2023/05/2 | Accepted: 2023/12/9 | Published: 2023/09/22
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