Identifying household EV models via weighted power recurrence graphs

•Propose a novel ‘Weighted Power Recurrence Graphs’ method that can identify EV models well irrespective of brand and SOC.•Propose a general low-complexity NILM event detection method to detect EVs and other appliances’ charging events in households.•Proposed method can identify Air Conditioners and other appliances well in households.•Develop a general framework to generate high frequency sampling data of EV charging combining with SOC information.•Compared with two weighted-based methods, the proposed method performs well in the NILM background.