CN-121989764-A - Energy management strategy determining method and device of cold chain vehicle and electronic equipment

CN121989764ACN 121989764 ACN121989764 ACN 121989764ACN-121989764-A

Abstract

The invention discloses an energy management strategy determining method and device of a cold chain vehicle and electronic equipment. The method comprises the steps of obtaining real-time operation data corresponding to a target cold chain vehicle, determining an interval classification result according to a lithium battery real-time SOC value and a preset interval threshold value, and determining a cooperative energy distribution strategy corresponding to the interval classification result, wherein the cooperative energy distribution strategy is used for distributing the output force of a fuel battery and the output force of the lithium battery, the cooperative energy distribution strategy comprises a power determination strategy corresponding to the fuel battery, the power determination strategy comprises a multi-efficient point fixed power determination strategy corresponding to a first interval, an SOC smooth following power determination strategy corresponding to a second interval and an SOC compensation power determination strategy corresponding to a third interval. The invention solves the technical problem of unreasonable energy distribution when determining the energy management strategy of the cold chain vehicle in the related technology.

Inventors

DU YONGANG
LI CONGXIN
WANG LIMING
ZONG YAJING
Yu Feiteng
CHANG TIANWEN
GONG XIN
WU SISI
YANG LANG
XIONG QINGHUI

Assignees

宁波绿动氢能科技研究院有限公司
国家电投集团氢能科技发展有限公司

Dates

Publication Date: 20260508
Application Date: 20260331

Claims (10)

1. An energy management strategy determination method for a cold chain vehicle, comprising: acquiring real-time operation data corresponding to a target cold chain vehicle, wherein the target cold chain vehicle is a hybrid vehicle type in which a fuel cell and a lithium battery are mixed, and the real-time operation data comprises a real-time SOC value of the lithium battery; Determining a section classification result according to the real-time SOC value of the lithium battery, wherein the section classification result comprises at least one of a first section, a second section and a third section, wherein the maximum electric quantity value corresponding to the third section is smaller than the minimum electric quantity value corresponding to the second section, and the maximum electric quantity value corresponding to the second section is smaller than the minimum electric quantity value corresponding to the first section; Determining a cooperative energy allocation strategy corresponding to the interval classification result, wherein the cooperative energy allocation strategy is used for allocating the output of the fuel cell and the lithium battery, the cooperative energy allocation strategy comprises a power determination strategy corresponding to the fuel cell, the power determination strategy comprises a multi-high-efficiency point fixed power determination strategy corresponding to the first interval, an SOC smooth following power determination strategy corresponding to the second interval and an SOC compensation power determination strategy corresponding to the third interval.
2. The method of claim 1, wherein determining a collaborative energy allocation strategy corresponding to the interval classification result comprises: Under the condition that the interval classification result is a first interval and the power determination strategy is a multi-high-efficiency point fixed power determination strategy, determining the average power of the whole vehicle according to the whole vehicle power time sequence data corresponding to the current sliding detection window; And determining the first output power corresponding to the fuel cell from a plurality of candidate output powers according to the comparison result of the whole vehicle average power and a preset average threshold, wherein the efficiency indexes respectively corresponding to the plurality of candidate output powers are higher than the preset efficiency threshold.
3. The method of claim 1, wherein determining a collaborative energy allocation strategy corresponding to the interval classification result comprises: Under the condition that the interval classification result is a second interval and the power determination strategy is that the SOC smoothly follows the power determination strategy, according to the real-time SOC value of the lithium battery, the upper limit and the lower limit of the SOC corresponding to the second interval are preset thresholds, S-shaped curve activation function calculation operation is executed, and the self-adaptive attenuation factor which dynamically changes along with the SOC is obtained; And determining a second output power corresponding to the fuel cell at the current moment according to the whole vehicle required power corresponding to the current moment, the fuel cell output power corresponding to the last moment and the self-adaptive attenuation factor.
4. The method of claim 1, wherein determining a collaborative energy allocation strategy corresponding to the interval classification result comprises: And under the condition that the interval classification result is a third interval and the power determination strategy is an SOC compensation power determination strategy, according to the real-time SOC value of the whole vehicle corresponding to the last moment, presetting a desired SOC value and a power compensation coefficient, and determining a third output power corresponding to the fuel cell at the current moment.
5. The method of claim 2, wherein after determining the average power of the whole vehicle according to the whole vehicle power time sequence data corresponding to the current sliding detection window, further comprising: Determining the standard deviation power of the whole vehicle according to the whole vehicle power time sequence data corresponding to the current sliding detection window; determining a target sliding detection window of the next stage according to a comparison result of the whole vehicle standard deviation power and a preset standard deviation threshold, wherein the target sliding detection window comprises a first time detection window corresponding to a stable working condition and a second detection window corresponding to a severe working condition; and collecting the whole vehicle power time sequence data corresponding to the target sliding detection window to circularly determine the target output power corresponding to the fuel cell for the target sliding detection window.
6. The method of claim 2, wherein determining the average power of the whole vehicle based on the whole vehicle power timing data corresponding to the current sliding detection window comprises: And determining the average power of the whole vehicle according to the whole vehicle power time sequence data corresponding to the current sliding detection window by adopting a Welford Welford algorithm.
7. The method according to any one of claims 1 to 6, further comprising, after determining a collaborative energy allocation policy corresponding to the interval classification result: executing the cooperative energy allocation strategy, and acquiring corresponding target fuel cell efficiency and target fuel cell power during the running of the vehicle; Determining a hydrogen consumption of the fuel cell during operation of the vehicle based on the target fuel cell efficiency, the target fuel cell power, and a hydrogen lower heating value; and determining the strategy execution effect according to the hydrogen consumption.
8. An energy management strategy determination device for a cold chain vehicle, comprising: The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring real-time operation data corresponding to a target cold chain vehicle, the target cold chain vehicle is a hybrid vehicle type in which a fuel cell and a lithium battery are mixed, and the real-time operation data comprises a real-time SOC value of the lithium battery; The first determining module is used for determining an interval classification result according to the real-time SOC value of the lithium battery, wherein the interval classification result comprises at least one of a first interval, a second interval and a third interval, the maximum electric quantity value corresponding to the third interval is smaller than the minimum electric quantity value corresponding to the second interval, and the maximum electric quantity value corresponding to the second interval is smaller than the minimum electric quantity value corresponding to the first interval; And the second determining module is used for determining a cooperative energy distribution strategy corresponding to the interval classification result, wherein the cooperative energy distribution strategy is used for distributing the output force of the fuel cell and the lithium battery, the cooperative energy distribution strategy comprises a power determination strategy corresponding to the fuel cell, the power determination strategy comprises a multi-high-efficiency point fixed power determination strategy corresponding to the first interval, an SOC smooth following power determination strategy corresponding to the second interval and an SOC compensation power determination strategy corresponding to the third interval.
9. An electronic device, comprising: A processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the energy management policy determination method of the cold chain vehicle of any one of claims 1 to 7.
10. A computer readable storage medium, characterized in that instructions in the computer readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the energy management policy determination method of a cold chain vehicle according to any one of claims 1 to 7.

Description

Energy management strategy determining method and device of cold chain vehicle and electronic equipment Technical Field The invention relates to the field of strategy determination, in particular to an energy management strategy determination method and device for a cold chain vehicle and electronic equipment. Background With the continuous increase of the number of automobiles in the global scope, the energy challenges become more serious, and the popularization of new energy automobiles is promoted. Hydrogen fuel cell technology, which is an important branch in the field of new energy automobiles, has attracted a great deal of research attention by virtue of its remarkable advantages of rapid fuel replenishment and high energy conversion efficiency, being widely regarded as one of the key directions of development of the future automobile industry. The fuel cell hybrid system achieves complementary advantages by integrating the high power density of the power cells with the high energy density of the fuel cells. Fuel cell hydrogen powered vehicles typically include key components such as a fuel cell system, a lithium battery pack, a drive motor, a hydrogen supply system, and an auxiliary component (BOP). The reasonable matching of all parameters and the optimization of the energy management strategy in the system have key effects on improving the power performance and economy of the whole vehicle. One of the common methods in the industry at present is to control the start-stop state of the fuel cell system and limit the output power thereof according to the current battery state of charge (SOC) and the power required by the whole vehicle, so as to achieve higher operation efficiency. Other researches focus on simulation analysis, a whole fuel cell model is constructed, a neural network algorithm is adopted to predict the running speed in the future time domain, and a hierarchical prediction energy management strategy aiming at the minimum energy in a prediction period is constructed by combining with a model prediction control theory. However, the above-described method still has a certain limitation. Part of strategies only pay attention to the change of the SOC value, neglect the coupling relation between the actual required power and the efficiency of the fuel cell, so that the hydrogen consumption is higher, the durability of the fuel cell system is reduced due to the fact that the fuel cell system is greatly loaded, and other strategies are difficult to put into engineering practice due to the fact that the calculation force and scene constraint in the actual application are not fully considered. It is known that in the related art, when determining an energy management strategy of a cold chain vehicle, there is a technical problem that energy distribution is unreasonable. In view of the above problems, no effective solution has been proposed at present. Disclosure of Invention The embodiment of the invention provides a method and a device for determining an energy management strategy of a cold chain vehicle and electronic equipment, which are used for at least solving the technical problem that energy distribution is unreasonable when the energy management strategy of the cold chain vehicle is determined in the related art. According to one aspect of the embodiment of the invention, an energy management strategy determining method of a cold chain vehicle is provided, and the method comprises the steps of obtaining real-time operation data corresponding to a target cold chain vehicle, wherein the target cold chain vehicle is a hybrid vehicle type with a hybrid fuel cell and a lithium battery, the real-time operation data comprise a lithium battery real-time SOC value, determining an interval classification result according to the lithium battery real-time SOC value, wherein the interval classification result comprises at least one of a first interval, a second interval and a third interval, the maximum electric quantity value corresponding to the third interval is smaller than the minimum electric quantity value corresponding to the second interval, the maximum electric quantity value corresponding to the second interval is smaller than the minimum electric quantity value corresponding to the first interval, determining a cooperative energy distribution strategy corresponding to the interval classification result, wherein the cooperative energy distribution strategy is used for distributing the output of the fuel cell and the lithium battery, the cooperative energy distribution strategy comprises a power determining strategy corresponding to the fuel cell, the power determining strategy comprises a plurality of high-efficiency SOC corresponding to the first interval, the third interval corresponds to the power smoothing strategy, and the second interval corresponds to the power determining strategy is smooth. Optionally, determining a collaborative energy allocation strategy corresponding to the int