Self-adaptive energy management system and method for hybrid electric vehicle

Abstract

The invention discloses a self-adaptive energy management system and method for a hybrid electric vehicle. The system comprises a mode discrimination module, a drive control module, a brake control module and a torque distribution module. The mode judgment module judges the working mode of the vehicle, and the drive control module and the brake control module adopt corresponding control strategiesto solve the ideal output torque of different power sources; the torque distribution module further distributes the output torque of the different power sources according to the output quantity of the drive control module or the brake control module; and the driving control module adopts an equivalent fuel consumption minimum control strategy. For the defect of poor working condition adaptabilityof a fixed equivalent factor in an equivalent fuel consumption minimum control strategy, an equivalent factor solving module is adopted to carry out fuzzy adaptive solution of the equivalent factor according to the road section average demand power predicted by an average power prediction module and the current state of charge of a battery; therefore, the fuel economy of the whole hybrid electricvehicle under the large-range road driving condition is remarkably improved.

Description

technical field [0001] The invention relates to an energy management optimization method of a hybrid electric vehicle, which belongs to the field of optimal control of the hybrid electric vehicle. Background technique [0002] China has become the world's largest single vehicle market, and the problems of air pollution and energy shortage caused by traditional fuel vehicles will become more and more serious. my country's "Technology Roadmap for Energy Saving and New Energy Vehicles" clearly puts hybrid technology as the top energy-saving technology for vehicles It is worth vigorously developing. The energy management strategy is the key to improve the fuel economy of HEVs. Effective energy management strategies must be combined to enable HEVs to take full advantage of their energy-saving and emission-reducing advantages. At present, both rule-based and optimization algorithm-based energy management strategies have been extensively studied. Among them, the rule-based strateg...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to avoid overcharging or over-discharging of the battery under different working conditions by using the equivalent fuel consumption minimum strategy with a fixed equivalent factor, and improve the working condition adaptability of the equivalent fuel consumption minimum strategy, thereby improving Vehicle Fuel Economy of Hybrid Electric Vehicles in a Wide Range of Road Driving Conditions

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