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首页> 外文期刊>IEEE transactions on industrial informatics >Battery-Wear-Model-Based Energy Trading in Electric Vehicles: A Naive Auction Model and a Market Analysis
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Battery-Wear-Model-Based Energy Trading in Electric Vehicles: A Naive Auction Model and a Market Analysis

机译：基于电池磨损模型的电动汽车能源交易：朴素的拍卖模型和市场分析

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摘要

This paper proposes auction-based energy trading among electric vehicles (EVs) with consideration of practical battery status. At an arbitrary time, each EV can be a seller or a buyer according to their residual battery level and required energy for reaching the predefined destination. Under energy trading among EVs, there is an energy pool managed by an auctioneer in the market that gathers surplus energy from sellers and supplies it to buyers using an auction mechanism. Each buyer individually decides the initial bidding price and the amount of energy to buy from sellers according to an expected cost savings compared with buying from macrogrids as well as its battery wearout cost and charging/discharging efficiency. Similarly, each seller also individually decides its initial selling price and the amount of energy for sale subject to a tradeoff between the received revenue and discharging cost depending on its battery status. Notably, we provide a battery status model of EVs for designing well-defined utilities of both sellers and buyers. We design a naive auction process such that, in the auction process, the auctioneer controls the bidding increment to determine the best prices on a set of energies offered to multiple buyers through an iterative procedure. Finally, we show that distributing the energy based on a well-defined utility function converges to a unique optimal distribution for maximizing the payoff of all participating EVs.
机译：本文提出了基于拍卖的电动汽车（EV）之间的能源交易，并考虑了实际的电池状态。在任意时间，每个EV可以根据其剩余电池电量和达到预定目的地所需的能量成为卖方或买方。在电动汽车之间的能源交易中，市场上有一个由拍卖商管理的能源池，该能源池从卖方那里收集过剩的能源，并使用拍卖机制将其提供给买方。每个购买者根据与大型电网相比的预期节省成本，电池损耗成本和充电/放电效率，分别确定初始投标价格和向卖方购买的能源量。类似地，每个卖方还根据其电池状态分别确定其初始销售价格和要出售的能量，并在收款收入和放电成本之间进行权衡。值得注意的是，我们提供了电动汽车的电池状态模型，用于设计买卖双方明确定义的公用事业。我们设计了一个幼稚的拍卖过程，以便在拍卖过程中，拍卖人控制竞价的增幅，以确定通过迭代程序提供给多个买家的一组能量的最佳价格。最后，我们表明，基于定义明确的效用函数分配能量会收敛到唯一的最佳分配，以最大化所有参与电动汽车的收益。

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