An Optimized EV Charging Model Considering TOU Price and SOC Curve

By Yijia Cao, Shengwei Tang, Canbing Li, Peng Zhang, Yi Tan, Zhikun Zhang, Junxiong Li. IEEE Transactions on Smart Grid, 2012

682 citations recorded by the source corpus.

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Electric vehicle charging demand forecasting model based on big data technologies (2016, background): “This study assumed that the initial battery SOC of an electric car before its charging was a random variable with a Gaussian distribution of which the probability density function (pdf) is defined as [34]:”
A Review of Charge Scheduling of Electric Vehicles in Smart Grid (2015, background): “Some other works have focused on optimizing EV-side benefits such as minimizing charging cost [35], [37], [39], [45], minimizing both CO2 emission and charging cost [37], [39], maximizing the average SOC of EVs [48], and maximizing user convenience [49].”
Comprehensive review of renewable energy curtailment and avoidance: A specific example in China (2015, background): “Some grid-friendly technologies of power end user side have been proposed, such as hydrogen-based grid-friendly zero energy buildings [82], grid-friendly charging schemes for the electric vehicles [83,84].”
Electric Vehicle Charging on Residential Distribution Systems: Impacts and Mitigations (2015, methodology): “A heuristic method is proposed in [51] to control the EV charging rate and time in response to the TOU pricing schedule.”