CN-116811516-B - Intelligent control method for heat dissipation of air conditioner of new energy commercial bus

Abstract

The invention relates to an intelligent control method for heat dissipation of an air conditioner of a new energy commercial bus. The intelligent controller in the air conditioner cooling intelligent system collects supercooling degree x of an air conditioner refrigerating system through a vehicle-mounted local area network CAN bus communication port, collects air conditioner air outlet temperature z and vehicle interior environment temperature y through an AD sampling port and a temperature sensor, calculates supercooling degree change Deltax through the supercooling degree x, further obtains supercooling degree change rate x', calculates expected temperature difference value w through air outlet temperature z and vehicle interior environment temperature y, further obtains temperature difference coefficient gamma, calculates electronic fan output minimum air quantity delta F according to electronic fan maximum output air quantity F max , minimum air quantity F min , vehicle interior environment and air conditioner air outlet temperature difference value w and preset h-level adjustment of a fan, and calculates air quantity required by air conditioner cooling according to supercooling degree change rate, expected temperature difference coefficient and minimum air quantity change, thereby improving cooling efficiency of the commercial air conditioner cooling system and reducing energy consumption.

Inventors

• LI LI

Assignees

• 厦门大学嘉庚学院

Dates

Publication Date

20260512

Application Date

20230321

Claims (1)

1. 1. The intelligent control method for the heat dissipation of the air conditioner of the new energy commercial bus is characterized by providing an intelligent control system for the heat dissipation of the air conditioner of the new energy commercial bus, comprising an intelligent controller, an electronic fan, an air conditioner refrigerating system and a temperature sensor, wherein the electronic fan, the air conditioner refrigerating system and the temperature sensor are connected with the intelligent controller, and the method comprises the following steps: Step 1, an intelligent controller acquires the supercooling degree x of an air conditioner refrigerating system through a vehicle-mounted local area network CAN bus communication port, and acquires the air outlet temperature z of the air conditioner and the in-vehicle environment temperature y through an AD sampling port and a temperature sensor; Step 2, calculating the change delta x of the supercooling degree through the supercooling degree x, and further obtaining the supercooling degree change rate x'; step 3, calculating an expected temperature difference value w through the air outlet temperature z of the air conditioner and the internal environment temperature y of the vehicle, and further calculating a temperature difference coefficient gamma; Step 4, calculating the minimum air quantity change quantity Deltaf required to be output by the electronic fan according to the maximum output air quantity F max , the minimum output air quantity F min , the temperature difference value w of the air outlet of the air conditioner and the environment in the vehicle and the preset h-level regulating value of the fan; step 5, calculating the air quantity required by the heat dissipation of the air conditioner according to the supercooling degree change rate, the expected temperature difference coefficient and the minimum air quantity change rate; In the step 1, the intelligent controller corresponds to a plurality of continuous sampling periods { T 0 , T 1 , T 2 ..the intelligent controller acquires the supercooling degree value of the air conditioner cooling system { x 0 , x 1 , x 2 ..the intelligent controller acquires the air conditioner air outlet temperature value { z 0 , z 1 , z 2 ..the intelligent controller acquires the vehicle interior environment temperature value { y 0 , y 1 , y 2 ..the intelligent controller acquires the air conditioner air outlet temperature value { x 0 , x 1 , x 2 .}; In the step 2, the change delta x n of the supercooling degree value is calculated according to the formula delta x n =( x n - x n-1 ), n epsilon {1, 2.}, and the supercooling degree change value results are arranged according to the time period { delta x 0 , △x 1 , △x 2 . }; screening the numerical values in Deltax n , deleting the numerical values with Deltax n being 0, reserving the numerical values with Deltax n being not 0, reserving corresponding supercooling degree numerical values by contrasting the supercooling degree variation numerical values Deltax n which are not 0, and arranging reserved supercooling degree numerical values x n according to a periodic sequence, wherein { x 0 , x a , x b .}, a, b epsilon {1, 2.} is carried out, wherein a < b is corresponding to the periodic values of { T 0 , T a , T b , }, a, b epsilon {1, 2.}, wherein a < b, T a =a*T,T b =b are represented by T, and then, the change rate x' n =( x n - x m )/T n , n, m epsilon {0, a, b.} of the supercooling degree of the air conditioner is obtained in the corresponding period { T 0 , T a , T b , }, a, b epsilon {1, 2.}, wherein n > m and n, m are arranged in the set {0, a, b.}, in sequence; In the step 3, the expected temperature difference value { Deltaw 0 , △w 1 , △w 2 , } between the environment temperature in the vehicle and the air outlet temperature corresponding to the period T n is calculated according to the formula Deltaw n =( y n - z n ) n epsilon {0,1,2, }, and the expected temperature difference coefficient { Gamma 1 , γ 2 , γ 3 , } of each period is calculated according to the formula Gamma n+1 =△w n+1 /△w n , n epsilon {0,1,2, }, wherein Gamma n+1 is equal to 0 when Deltaw n is 0; In the step 4, the maximum air volume of the heat dissipation electronic fan is F max , the minimum air volume is F min , the air volume output by the electronic fan is in a multi-stage variable quantity, so that the fan air volume level is set to be an integer value of h >0, the minimum increment and decrement of the air volume of the fan are Deltaf= (F max -F min )/h n , h epsilon {1, 2. }, in order to respond to the expected temperature difference between the ambient temperature and the air outlet temperature, the minimum increment and decrement of the air volume output by the fan are adjusted in real time along with the expected requirement, namely, the minimum increment and decrement is multiplied by the temperature difference between the ambient temperature and the air outlet temperature in each period, deltaf n =((F max -F min )/h)*△w n , h epsilon {1, 2. }; In the step 5, a minimum supercooling degree threshold X min and a maximum supercooling degree threshold X max are set, and the electronic fan is controlled to run at full speed to output the maximum air volume once the supercooling degree X is less than or equal to X min , so that the air conditioning system is ensured not to generate overheat and stop; When the supercooling degree is within the range of (X min ,X max ), the output air quantity of the electronic fan in the current period T n is calculated by using the formula f n = f n-1 + G*(1+γ n )*x' n , n epsilon {0, a, b. }, wherein G is a constant coefficient with a negative value, and the value range is [ -1,0 ].

Description

Intelligent control method for heat dissipation of air conditioner of new energy commercial bus Technical Field The invention relates to an intelligent control method for heat dissipation of an air conditioner of a new energy commercial bus. Background The vehicle-mounted air conditioner is a conventional configuration of a commercial bus, the performance of the vehicle-mounted air conditioner is related to the comfort of the environment in the bus when the commercial bus runs, and the energy consumption of the commercial bus is related. The air conditioning system is an electrical device with higher energy consumption on a vehicle, generally comprises an air conditioning compressor, a radiator and electronic fans, and besides the higher energy consumption when the air conditioning compressor works, the energy consumption when the electronic fans for heat dissipation are also very high, and the rated current of the electronic fans for heat dissipation is usually 15A-25A, and the number of the electronic fans is 2-8 according to the different sizes and tonnages of the vehicle. The heat dissipation of the traditional commercial bus air conditioner is a non-intelligent heat dissipation system, when the commercial bus air conditioner works, a controller is used for simply closing a control loop of a heat dissipation electronic fan in the air conditioning system, so that all the electronic fans can run at full speed, and the control mode can not meet the actual heat dissipation requirement of the air conditioning system under partial working conditions, and meanwhile, the energy consumption is relatively large. Aiming at the characteristics of a new energy commercial passenger car, part of commercial passenger car factories improve the air conditioning and heat dissipation system of the traditional passenger car, the maximum rotation speed of the electronic fans is limited by referring to the engine rotation speed of a hybrid vehicle or referring to the maximum output current of low-voltage direct current of a pure electric vehicle when the air conditioning and heat dissipation system works, the maximum rotation speed of the electronic fans is limited so as to prevent the damage of a generator or a DC/DC (direct current/direct current) inverter caused by overlarge current when a plurality of electronic fans work at the same time with full power, and the referenced engine rotation speed is used for protecting the generator because the automobile structure determines that the generator is driven by an engine rotor to rotate together to generate electricity. Although the above improvement increases the intelligent control part compared with the traditional control mode, only the phenomenon of avoiding the power shortage of the generator or the DC/DC is solved, and the problems of excessively high energy consumption and environmental comfort in the vehicle air conditioner system are not really solved. Disclosure of Invention The invention aims to provide an intelligent control method for heat dissipation of an air conditioner of a new energy commercial bus, which effectively improves the heat dissipation efficiency of an air conditioning system and reduces the energy consumption. In order to achieve the purpose, the technical scheme of the invention is that an intelligent control method for cooling an air conditioner of a commercial bus provides an intelligent control system for cooling an air conditioner of a commercial bus with new energy, and the method comprises the following steps: Step 1, an intelligent controller in the intelligent control system for air conditioner heat dissipation corresponds to a plurality of continuous sampling periods { T 0, T1, T2 }, the supercooling degree value of the air conditioner cooling system is { x 0, x1, x2, & gt}, the temperature value of an air outlet of the air conditioner is { z 0, z1, z2, & gt}, and the temperature value of the environment in the vehicle is { y 0, y1, y2, & gt; Step 2, calculating the change delta x n of the supercooling degree value according to the formula delta x n=( xn- xn-1) n epsilon {1,2, & gt, and arranging the supercooling degree change value results according to the time period { delta x 0, △x1, △x2, & gt. The values in Δx n are filtered, the number with Δx n being 0 is deleted, and the value with Δx n being other than 0 is reserved. Then, corresponding supercooling degree values x n-1 are reserved according to the supercooling degree change values Deltax n which are not 0, the reserved supercooling degree values x n are arranged according to a cycle sequence, { x 0, xa, xb, & gt, a, b E {1,2, & gt, wherein a < b corresponds to a cycle value { T 0, Ta, Tb, & gt, a, b E {1,2, & gt, a < b, T a=a*T,Tb =b, T, and then, the change rate x' n=( xn- xm)/Tn of the supercooling degree of the air conditioner is obtained in the cycle { T 0, Ta, Tb, & gt, a, b E {1,2, & gt, m E {0, a, b. } & gt, n > m and n, m are arranged in sequence in the set {0, a, b. };