A control method for energy management of electric vehicles based on fuzzy control

A technology of fuzzy control and energy management, applied in the field of energy management, can solve the problems of energy management effect to be improved, control strategy is not flexible enough, etc., achieve the effect of simplifying energy management calibration parameter debugging, improving engineering development efficiency, and improving versatility

Active Publication Date: 2022-03-01
JIANGLING MOTORS
View PDF21 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The control strategy is not flexible enough, and the effect of energy management needs to be improved

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A control method for energy management of electric vehicles based on fuzzy control
  • A control method for energy management of electric vehicles based on fuzzy control
  • A control method for energy management of electric vehicles based on fuzzy control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0021] see figure 1 , the energy management control method based on fuzzy control proposed by the present invention, the implementation steps include:

[0022] Obtain the state of charge of the power battery and the maximum discharge power, use the state of charge of the power battery and the maximum discharge power as input parameters, and use the allowable power of energy-consuming components: air conditioner AC and PTC heater as output variables to establish fuzzy control rules;

[0023] The fuzzy controller is designed with the state of charge of the traction battery SOC and the maximum discharge power Pmax of the traction battery as the input variables, and the allowable power of the air conditioner AC P_ACallow as the output variable to establish a fuzzy controller, and the triangular function is selected as the membership function of the input and output variables. The fuzzy controller is designed with the state of charge of the power battery SOC and the maximum dischar...

Embodiment 2

[0025] see figure 1 , the energy management control method based on fuzzy control in this embodiment is different from Embodiment 1 in that the fuzzy controller adopts Mamdani direct reasoning method to deduce the allowability of the air conditioner AC and PTC heater according to the membership function of the input and output and the fuzzy control rules. Power, and then the allowable power of energy-consuming components.

[0026] The allowable power of the air conditioner AC and the PTC heater is expressed as a percentage. The maximum allowable power of the air conditioner AC 100% corresponds to the upper limit of the allowable power of the air conditioner AC; the maximum allowable power of the PTC heater 100% corresponds to the calibration parameter The upper limit value of the allowable power of the parameter air conditioner PTC.

Embodiment 3

[0028] The energy management control method based on fuzzy control in this embodiment differs from that in Embodiment 2: further, the fuzzy set domain of the state of charge SOC of the power battery is defined as 0% to 100%, and its language variables are set to: {Extremely small ZS, small S, medium M, large B, extremely large ZB};

[0029] The maximum discharge power Pmax corresponds to 100% of the maximum power that the power battery can provide according to the discharge mode, and its fuzzy set universe is defined as 0% to 100%, and its language variables are set to: B, maximum ZB};

[0030] The air conditioner AC allowable power P_ACallow corresponds to 100% according to the calibrated maximum power upper limit, and its fuzzy set universe is defined as 0% to 100%, and its language variables are set as: {very small ZS, small S, medium M, large B, extreme Big ZB};

[0031] The allowable power P_PTCallow of the PTC heater corresponds to 100% according to the calibrated maxi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

An electric vehicle energy management control method based on fuzzy control, which obtains the state of charge of the traction battery and the maximum discharge power signal of the traction battery; takes the state of charge of the traction battery and the maximum discharge power signal of the traction battery as input variables, and uses the power consumption component air conditioner AC The allowable power of the power is used as the output variable to establish a fuzzy controller; according to the fuzzy control rules, the allowable power of the air conditioner AC is obtained; the state of charge of the power battery and the maximum discharge power signal of the power battery are used as input variables, and the PTC heater of the energy-consuming part The allowable power is used as the output variable to establish a fuzzy controller; and the triangular function is selected as the membership function of the input and output variables; according to the fuzzy control rules, the allowable power of the PTC heater is obtained; according to the power battery state of charge SOC and the maximum discharge power in real time Allowable power of allocated AC, PTC. The use of fuzzy control has strong versatility, the corresponding parameter adjustment is fast and intuitive, and the adjustment period is short.

Description

technical field [0001] The invention relates to an energy management technology, in particular to an electric vehicle energy management method based on fuzzy control. Background technique [0002] The energy management of electric vehicles is to distribute the energy and power of the energy-consuming parts of the whole vehicle. The energy distribution strategy of the whole vehicle is inseparable from the dynamic performance, cruising range and driving safety of the whole vehicle. The energy of a pure electric vehicle driving normally comes from the power battery pack, and its energy-consuming components include drive motors, air conditioners, PTCs, various controllers and other accessories. [0003] The current energy management strategy is to carry out simple energy allocation according to the priority of the energy-consuming components of the vehicle, and set the power limit of each component. If the supply capacity is insufficient, some high-voltage accessories are proper...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): B60W50/00B60L58/12
CPCB60W50/00B60L58/12B60W2050/0019Y02T10/70
Inventor 彭永涛龚俊奇魏广杰吴浩
Owner JIANGLING MOTORS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap