Dual motor integrated pure electric passenger car power distribution strategy optimization method

Abstract

The invention relates to a dual motor integrated pure electric passenger car power distribution strategy optimization method, and belongs to the field of power distribution. Relative parameters of a dual motor integrated pure electric car are reasonably chosen, relative work condition simulation is conducted by applying four strategies of power distribution strategies (including a dynamic programming strategy and an instantaneous energy consumption minimization strategy) based on the optimization method and a power distribution strategies (a dual motor equal torque distribution strategy and amain auxiliary motor torque distribution strategy) based on a rule, and the optimum strategy of pure electric passenger car power distribution is found by comparing, namely instantaneous optimizationshould serve as the best method for integrated dual motor pure electric passenger car power mode distribution.

Description

technical field [0001] The invention belongs to the field of power distribution, and relates to a method for optimizing a power distribution strategy of a dual-motor integrated pure electric passenger vehicle. Background technique [0002] With the rapid wave of industrialization since the 20th century, human beings are facing increasingly severe energy crisis, environmental crisis and ecological crisis. People have deeply realized that green, energy-saving and low-carbon production and lifestyle are the needs of sustainable development. [0003] Vigorously developing electric vehicles is an important means to alleviate and deal with the above-mentioned crisis, and has become the consensus of the automotive industry. In the field of buses, pure electric vehicles are favored because of their advantages such as zero emission, low noise and no dependence on fossil fuels. With the development of technology Progress, the driving form of pure electric vehicles is becoming more and...

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Problems solved by technology

[0006] Dynamic programming is the most widely used global optimization method in the energy or power distribution problem of electric vehicles. It has become the standard to measure other strategies, but it requires the information of driving conditions to be given in advance. In addition, dynamic programming has a long calculation time and accuracy depends on the state. The density of the variable grid division and the interpolation method are insufficient, and the instantaneous consumption minimum strategy (ICMS) can overcome the shortcomings of dynamic programming that are difficult to apply in real time, but its disadvantage is in te

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