Research on Power Battery Ratio in Battery Exchanging Mode for Electric Vehicles Based on Monte Carlo Simulation

This work presents a simulation model for electric vehicles (EVs) power battery ratio configuration in battery exchanging mode and the calculation results of the minimal battery ratios under different battery state of charge (SOC) lower limits. Applying the normal copula function, the composite probability distribution function of daily mileage, daily charging time length and travelling time length in the battery charging mode is obtained. Based on this, the daily mileage probability distribution in battery exchanging mode is derived. A Monte Carlo Simulation (MCS) model with SOC constraints is established to calculate the minimal battery ratio. The EVs battery packs exchange when SOC reaches the lower limit. The travelling data of one certain demonstration running EVs are adopted as an example to test the calculation mode, and the rationality of the mode is verified.