Energy management strategy for extended range electric vehicles based on condition recognition

In order to improve the working condition adaptability of energy management strategy, particle swarm optimization algorithm was used to search for the optimal smoothing factor of probabilistic neural network, establish the working condition recognition model, identify the working condition type online combined with the vehicle model, call the equivalent factor lookup table, determine the optimal equivalent factor under the current working condition, use the equivalent fuel consumption minimization strategy to solve the optimal control quantity, and input it into the vehicle model. Real-time control of vehicle operation to improve the fuel economy of extended range electric vehicles under different working conditions.