Method for estimating torque required by driver of pure electric automobile based on information integration

Abstract

The invention discloses a method for estimating a torque required by a driver of a pure electric automobile based on information integration, and the method takes motor external characteristics as well as discharge polarization phenomenon of a cell at a low temperature and output restriction at a high temperature into consideration. When cell output capability is used to restrict motor power output, the motor work efficiency between electric power in a power supply system and mechanical power in a power system is considered; an accelerator pedal coefficient kacc is integrated with a shift coefficient to obtain the driver's operation coefficient kcab; a motor in 3 or 4 grade and a cell fault are integrated to obtain a corresponding 4 or 6 grade electric power driving system fault coefficient; and the cell temperature and the output capability restricted by SOC are integrated as a cell state coefficient kbat. According to the method, factors are considered in a more comprehensive and detailed way; power / torque correction calculating is reduced by integrating related factors, making calculating speed and accuracy improved, and a real time torque required by the driver can be rapidly and accurately estimated; and the power performance and driving experience of the pure electric automobile can be greatly improved.

Description

technical field [0001] The invention belongs to the technical field of pure electric vehicles, in particular to an information synthesis-based method for estimating the driver's required torque of the pure electric vehicle. Background technique [0002] As energy and environmental issues become increasingly severe, energy-saving and new energy vehicle technologies have become the focus of the government and enterprises. Pure electric vehicles have become the future direction of new energy vehicles due to their zero emissions, low noise, and simple structure. Since the stored energy mainly comes from grid power, which can come from nuclear power, hydropower, wind power, photovoltaic and other clean, efficient or renewable energy sources, it has strong advantages in energy conservation and environmental protection. [0003] In the prior art, the factors considered in estimating the driver's demand torque for pure electric vehicles are still not comprehensive enough, which is ...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the factors considered in the estimation of the driver's demand torque for pure electric vehicles are still not comprehensive enough, which is not conducive to the performance of the vehicle's power performance and driving experience

At the same time, according to the limitation of the output capacity of the motor and battery state, the estimated value of the required torque is corrected in multiple stages, which requires a large amount of calculation.

For example, the Chinese patent publication number is CN102897214A, and the publication date is 2013-01-30, which discloses a method for analyzing driver demand torque. Although the method takes into account the influence of the maximum discharge power of the power supply system on the torque output capability of the drive motor, However, the problem of motor work efficiency between the energy from the electric power of the power system to the mechanical power of the power system is ignored, which is not accurate and detailed enough, and similar patents have not considered this problem

The Chinese patent publication number is CN103692987A, and the publication date is 2014-04-02. It discloses a pure electric vehicle torque management control method, which divides the gears into two categories: P / N gears and forward / reverse gears, respectively corresponding to the target Torque 0 and other specific demand values ​​obtained by interpolation of the accelerator pedal, there are many steps to solve, not streamlined enough

The Chinese patent publication number is CN103661391A, and the publication date is 2014-03-26. It discloses a pure electric bus drive control method. Although the method divides motor faults into three levels, high, medium, and low, it cannot classify motor and battery faults to the output Considering the impact of the ability together, the solution steps are more, not streamlined enough, and a large amount of data processing calculations have higher requirements on the controller

Images