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Random energy management method of bienergy source power automobile

A hybrid electric vehicle, energy management technology, applied in hybrid electric vehicles, motor vehicles, transportation and packaging, etc., can solve the problem that the control strategy cannot be guaranteed, the working mode switching of the power system cannot be well solved, and the dynamic characteristics of the vehicle are not considered And other issues

Inactive Publication Date: 2007-01-31
WOLONG SCI & TECH DEV JILIN PROV
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Problems solved by technology

However, this method is also an optimization method based on the static model of sub-components. This method does not consider the dynamic characteristics of the vehicle, cannot obtain all the information of the dynamic control system, and cannot solve the problem of switching the working mode of the power system well. Ensure that the control strategy is optimal under real driving conditions

Method used

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  • Random energy management method of bienergy source power automobile
  • Random energy management method of bienergy source power automobile
  • Random energy management method of bienergy source power automobile

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Embodiment Construction

[0045] Obtain the vehicle speed through the sensor, calculate the current driver demand torque according to the vehicle speed and the position of the accelerator pedal, and calculate the driver's actual demand power P according to the driver demand torque and vehicle speed dem_act ;

[0046] P dem_atc =(P acdc +P bat )·η m&c ·η trans

[0047] The SOC value of the battery is calculated from the battery SOC measuring device.

[0048] According to a large number of driving records, the statistical law of driver demand power is summarized:

[0049] P dem = I bus · U bus n m&c ·η trans

[0050] u bus is the bus voltage, I bus is the bus current, η trans is the transmission system efficiency, η m&c is the total efficiency of the motor and controller. Assume that the driver's operation is only to determine the driver's required power at the next moment based on the current state. Specifically, at the current time k, the driver's demand power P at time k+1 dem (k+1)...

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Abstract

The present invention relates to a random energy management method of double energy source mixed power automobile, belonging to the field of dynamic energy distribution method of mixed power automobile. Said method includes the following steps: firstly, inducing statistic law of actual power from lots of vehicle road running records, obtaining condition transfer probability matrix of power required by driver and obtaining single-step cost of conversion between arbitrary conditions, and creating Markov random model of power required by driver, then utilizing said Markov random model to make calculation and obtain optimum control quantity of energy output.

Description

technical field [0001] The invention belongs to a dynamic energy optimization method for a hybrid electric vehicle, and furthermore, the method can also be extended to other dual-energy source hybrid vehicles. Background technique [0002] In recent years, as people pay more and more attention to the living environment and natural energy, the development of hybrid vehicles has swept the whole world. High-efficiency, energy-saving and low-emission performance make it a new hotspot in the development of the automotive field in the world today. Major international automakers and oil giants have invested heavily in capital and technology, accelerating the commercialization of hybrid vehicles. Some experts in related fields are even optimistic that hybrid electric vehicles will trigger a revolution in the world's automobile industry and eventually replace traditional internal combustion locomotives as the mainstream. [0003] Hybrid electric vehicle (Hybrid Electric Vehicle-HEV...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W10/06B60W10/26B60W20/00B60W40/00B60W20/10
Inventor 楼栋燕宇程王冬杨宏亮周文
Owner WOLONG SCI & TECH DEV JILIN PROV
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