The invention discloses an
electric vehicle control optimization method based on
big data, and relates to the field of
big data, and the method comprises the steps: building a
cloud database containing the historical and real-
time data of vehicles in the same batch, obtaining multi-
source data through a motor, a battery, an environment and an accessory equipment collection terminal, and carrying out the optimization of the multi-
source data; and calculating a battery health degree fluctuation coefficient Kb, a
motor efficiency fluctuation coefficient Km and an
environmental factor fluctuation coefficient Ke after Min-Max normalization
processing, and importing a
dynamic energy consumption model to generate a real-time
energy consumption rationality index Es. And the
vehicle control unit VCU dynamically adjusts the air conditioner power, the motor output torque and the battery charging and discharging mode according to the Es, an optimization instruction is sent to the ECU controller, and a historical
database is updated. The method breaks through the limitation of traditional fixed
parameter control, accurately evaluates the influence of the battery, the motor and the environment, reduces the abnormal fluctuation of
energy consumption, improves the energy efficiency
management level of the whole life cycle, prolongs the service life of the
battery pack, and guarantees the safety and compliance of data.