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CN-122008955-A - Energy management method, device, target vehicle and storage medium

CN122008955ACN 122008955 ACN122008955 ACN 122008955ACN-122008955-A

Abstract

The invention relates to the technical field of energy management, in particular to an energy management method, an energy management device, a target vehicle and a storage medium. The method comprises the steps of obtaining at least one target navigation sub-road section included in a target navigation path, calculating initial consumption SOC corresponding to each target navigation sub-road section of pure electric driving without considering the gradient corresponding to each target navigation sub-road section, obtaining at least one target ascending road section included in the target navigation path, calculating redundant consumption SOC corresponding to each target ascending road section, wherein the redundant consumption SOC is used for representing the SOC which is more consumed without considering the gradient of each target ascending road section under the condition of considering the gradient of each target ascending road section, calculating target charging SOC corresponding to a target vehicle based on each initial consumption SOC and each redundant consumption SOC, and managing the energy of the target vehicle based on the target charging SOC. The long uphill dynamic performance is guaranteed, meanwhile, the economy is considered, and the comprehensive driving experience of the whole vehicle is improved.

Inventors

  • PANG YU
  • ZHANG MENG
  • CUI WENQING
  • BAI GUOJUN
  • ZHOU QIANG

Assignees

  • 重庆长安汽车股份有限公司

Dates

Publication Date
20260512
Application Date
20260409

Claims (15)

  1. 1. A method of energy management, the method comprising: Acquiring at least one target navigation sub-section included in a target navigation path; Under the condition of not considering the gradient corresponding to each target navigation sub-road section, calculating the initial consumption SOC corresponding to each target navigation sub-road section of pure electric driving; Acquiring at least one section of target ascending road section included in the target navigation path; Calculating redundant consumption SOC corresponding to each target uphill road section, wherein the redundant consumption SOC is used for representing the SOC which is consumed more under the condition of considering the gradient of each target uphill road section than under the condition of not considering the gradient of each target uphill road section; calculating a target charge SOC corresponding to a target vehicle based on each of the initial consumption SOCs and each of the excess consumption SOCs; and managing energy of the target vehicle based on the target charge SOC.
  2. 2. The method of claim 1, wherein the obtaining at least one target navigation sub-segment included in the target navigation path comprises: The method comprises the steps of obtaining a plurality of initial navigation sub-sections included in an initial navigation path, wherein the initial navigation sub-sections are divided by a navigation system based on congestion conditions corresponding to all sub-sections in the initial navigation path; acquiring the initial road section length corresponding to each initial navigation sub road section; And correcting each initial navigation sub-road section based on the length of each initial road section to obtain at least one target navigation sub-road section.
  3. 3. The method of claim 2, wherein said modifying each of said initial navigation sub-segments based on each of said initial segment lengths to obtain at least one target navigation sub-segment comprises: Comparing the length of each initial road section with a first preset road section length threshold value; Deleting the initial navigation sub-road section with the initial road section length smaller than the first preset road section length threshold value to obtain a residual navigation sub-road section; for each remaining navigation sub-road section, calculating a remaining average vehicle speed corresponding to the remaining navigation sub-road section based on a remaining road section length and a remaining passing time corresponding to the remaining navigation sub-road section; comparing each residual average vehicle speed with a preset average vehicle speed threshold value; determining the remaining navigation sub-road sections of which the remaining average vehicle speed is smaller than or equal to the preset average vehicle speed threshold value as congestion sub-road sections; determining the remaining navigation sub-road sections with the remaining average vehicle speed greater than the preset average vehicle speed threshold as unobstructed sub-road sections; Merging the adjacent remaining navigation sub-sections with the same congestion state to obtain each target navigation sub-section; and generating the target navigation path based on each target navigation sub-section.
  4. 4. The method of claim 1, wherein the acquiring at least one target uphill road segment included in the target navigation path comprises: acquiring target gradient data corresponding to the target navigation path; Dividing the target navigation path according to the target gradient data, and determining at least one initial ascending road section in the target navigation path; At least one of the target uphill segments is determined based on each of the initial uphill segments.
  5. 5. The method of claim 4, wherein said determining at least one of said target uphill segments based on each of said initial uphill segments comprises: combining adjacent initial uphill sections for each initial uphill section to generate each candidate uphill section; Calculating the candidate gradient corresponding to each candidate uphill road section and the length of the candidate road section; Comparing each candidate gradient with a preset gradient threshold value, and comparing the length of each candidate road section with a second preset road section length threshold value; And determining each candidate ascending road section with the candidate gradient larger than or equal to the preset gradient threshold value and the length of the candidate road section larger than or equal to the second preset road section length threshold value as the target ascending road section.
  6. 6. The method of claim 1, wherein calculating the surplus consumption SOC for each of the target uphill road segments comprises: Determining the basic consumption SOC corresponding to each target uphill road section according to the target road section length and the target gradient corresponding to each target uphill road section; Obtaining a target average speed corresponding to each target uphill road section; acquiring consumption SOC correction coefficients corresponding to the target uphill road sections according to the target average vehicle speeds; Multiplying the basic consumption SOC by the consumption SOC correction coefficient to obtain the redundant consumption SOC corresponding to each target uphill road section.
  7. 7. The method according to claim 1, wherein calculating a target SOC for the target vehicle based on each of the initial consumption SOCs and each of the excess consumption SOCs includes: accumulating the initial consumption SOCs to obtain a reference charge SOC corresponding to a target battery in the target vehicle; acquiring environmental temperature information, altitude information and battery temperature information corresponding to the target vehicle and the target battery; Determining a charge SOC offset corresponding to the target battery based on the ambient temperature information, the altitude information, and the battery temperature information; accumulating the redundant consumption SOC to obtain the total redundant consumption SOC corresponding to the target battery in the target vehicle; And adding the reference charge SOC, the charge SOC offset and the total redundant consumption SOC to obtain the target charge SOC corresponding to the target vehicle.
  8. 8. The method of claim 1, wherein the managing the energy of the target vehicle based on the target SOC comprises: For each target ascending road section, dividing the target navigation path by taking the ending point of the current target ascending road section as a period starting point and the ending point period terminal of the next target ascending road section to obtain at least one navigation period; For each navigation period, acquiring a current actual SOC (state of charge) corresponding to a termination point of the target vehicle on the current target uphill road section; Aiming at the target navigation sub-road sections in each period in the navigation period, calculating the sub-path maximum power generation SOC corresponding to the target navigation sub-road sections of the target vehicle in each period based on the current actual SOC, wherein each sub-path maximum power generation SOC is the optimal power generation SOC considering the NVH characteristics and economy of the whole vehicle; acquiring each unblocked navigation sub-road section from the target navigation sub-road sections in each period; Accumulating the maximum power generation SOC of the sub-path corresponding to each smooth navigation sub-section to obtain the maximum power generation SOC of the smooth path; adding the maximum power generation SOC of the smooth path and the current actual SOC to obtain a first ideal charging SOC; comparing the first ideal charge SOC with the target charge SOC; and if the first ideal charging SOC is greater than or equal to the target charging SOC, controlling the target vehicle to generate power in each smooth navigation sub-section according to the sub-path maximum power generation SOC corresponding to each smooth navigation sub-section.
  9. 9. The method of claim 8, wherein the managing the energy of the target vehicle based on the target SOC further comprises: If the first ideal charge SOC is smaller than the target charge SOC, acquiring each congestion navigation sub-section from the target navigation sub-sections in each period in the navigation period; Acquiring the maximum power generation SOC of a congestion path corresponding to each congestion navigation sub-section; Accumulating the maximum power generation SOC of each congestion path to obtain the maximum power generation SOC of the congestion path; Adding the maximum power generation SOC of the congestion path and the first ideal charge SOC to obtain a second ideal charge SOC; comparing the second ideal charge SOC with the target charge SOC; And if the second ideal charge SOC is greater than or equal to the target charge SOC, controlling the target vehicle to generate power at the maximum power generation SOC of each sub-path in each smooth navigation sub-path and each congestion navigation sub-path.
  10. 10. The method of claim 9, wherein the managing the energy of the target vehicle based on the target SOC further comprises: If the second ideal charging SOC is smaller than the target charging SOC, subtracting the second ideal charging SOC from the target charging SOC to obtain a charging SOC difference value; Determining the offset torque corresponding to the target navigation sub-section in the period when the target vehicle runs according to the charging SOC difference value and the navigation average speed corresponding to the target navigation sub-section in the period; determining the optimal range extender torque corresponding to each target navigation sub-section based on the sub-path maximum power generation SOC corresponding to the target navigation sub-section in the period; adding the optimal range extender torque and the offset torque to obtain a target range extender torque; and controlling the target vehicle based on the target range extender torque.
  11. 11. The method of claim 8, wherein the calculating, for each of the intra-period target navigation sub-segments in the navigation period, the sub-path maximum power generation SOC of the target vehicle corresponding to each of the target navigation sub-segments based on the current actual SOC comprises: for each target navigation sub-section in the period, acquiring a first actual SOC corresponding to the target vehicle before the target navigation sub-section in the period is driven; subtracting the first actual SOC from the target charging SOC to obtain a first SOC difference value corresponding to the target navigation sub-section in the period; Determining the NVH characteristic optimal range extender rotating speed corresponding to the target navigation sub-section of the target vehicle in the period according to the first SOC difference value and the navigation average vehicle speed corresponding to the target navigation sub-section in the period; determining the torque of the optimal range extender of the NVH characteristic according to the rotating speed of the optimal range extender of the NVH characteristic; calculating the power generation power of the range extender corresponding to each target navigation sub-section according to the rotation speed of the range extender with the optimal NVH characteristics and the torque of the range extender with the optimal NVH characteristics; Multiplying the power generated by the range extender by the driving time length corresponding to the target navigation sub-section in the period, and subtracting the initial consumed energy corresponding to the target navigation sub-section in each period to obtain the maximum total power generated corresponding to the target navigation sub-section in the period; and calculating the sub-path maximum power generation SOC based on the maximum power generation total work.
  12. 12. An energy management device, the device comprising: The first acquisition module is used for acquiring at least one target navigation sub-section included in the target navigation path; The first calculation module is used for calculating the initial consumption SOC corresponding to each target navigation sub-road section of pure electric driving under the condition that the gradient corresponding to each target navigation sub-road section is not considered; The second acquisition module is used for acquiring at least one section of the target ascending road section included in the target navigation path; The system comprises a first calculation module, a second calculation module and a control module, wherein the first calculation module is used for calculating the redundant consumption SOC corresponding to each target ascending road section, and the redundant consumption SOC is used for representing the redundant consumption SOC under the condition of considering the gradient of each target ascending road section relative to the state of charge without considering the gradient of each target ascending road section; A third calculation module for calculating a target charge SOC corresponding to a target vehicle based on each of the initial consumption SOCs and each of the excess consumption SOCs; and the control module is used for managing the energy of the target vehicle based on the target charging SOC.
  13. 13. A target vehicle comprising a vehicle body and an electronic device, wherein the electronic device comprises a memory and a processor, the memory and the processor are in communication connection with each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the energy management method of any one of claims 1 to 11.
  14. 14. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the energy management method of any of claims 1 to 11.
  15. 15. A computer program product comprising computer instructions for causing a computer to perform the energy management method of any one of claims 1 to 11.

Description

Energy management method, device, target vehicle and storage medium Technical Field The invention relates to the technical field of energy management, in particular to an energy management method, an energy management device, a target vehicle and a storage medium. Background With the rapid development of new energy automobile technology, extended range electric automobiles gradually become one of the mainstream choices of the market by virtue of silence of pure electric driving and convenience of long-distance travel. The vehicle energy management strategy is a core technology for influencing the economy, the dynamic performance and the driving experience of the extended range electric vehicle, and the optimal design of the vehicle energy management strategy is attracting attention. However, there are significant shortcomings to existing energy management techniques. For example, the prior art mostly targets the final destination as an energy management location, and the vehicle needs to start the range extender to generate electricity in the early stage to reserve the amount of electricity required to reach the destination, resulting in a higher actual level of power conservation for the power battery. When the navigation trip mileage is far, a driver temporarily changes a destination or a driving route is yawed, the surplus electric quantity reserved in the front stage can cause energy waste, and the economical efficiency of the vehicle is obviously reduced. Therefore, how to optimize the energy of the vehicle to improve the economy and consider the gradient characteristics of the navigation path becomes a key problem to be solved in the current extended range electric vehicle energy management technology. Disclosure of Invention The invention provides an energy management method, an energy management device, a target vehicle and a storage medium, which are used for solving the problem of optimizing energy of the vehicle so as to improve economy and simultaneously consider the gradient characteristic of a navigation path. In a first aspect, the invention provides an energy management method, which comprises the steps of obtaining at least one target navigation sub-section included in a target navigation path, calculating initial consumption SOC corresponding to each target navigation sub-section of pure electric driving without considering the gradient corresponding to each target navigation sub-section, obtaining at least one section of target ascending road section included in the target navigation path, calculating redundant consumption SOC corresponding to each target ascending road section, wherein the redundant consumption SOC is used for representing the SOC which is more consumed without considering the gradient of each target ascending road section relative to the SOC which is more consumed without considering the gradient of each target ascending road section, calculating target charging SOC corresponding to a target vehicle based on each initial consumption SOC and each redundant consumption SOC, and managing the energy of the target vehicle based on the target charging SOC. In an alternative implementation mode, the method comprises the steps of obtaining at least one target navigation sub-section included in a target navigation path, wherein the method comprises the steps of obtaining a plurality of initial navigation sub-sections included in the initial navigation path, dividing the initial navigation sub-sections into sections based on congestion conditions corresponding to all the sub-sections in the initial navigation path by a navigation system, obtaining initial section lengths corresponding to all the initial navigation sub-sections, and correcting all the initial navigation sub-sections based on the initial section lengths to obtain at least one target navigation sub-section. In an alternative implementation mode, based on the length of each initial road section, correcting each initial navigation sub-road section to obtain at least one target navigation sub-road section, wherein the method comprises the steps of comparing the length of each initial road section with a first preset road section length threshold value, deleting the initial navigation sub-road section with the initial road section length smaller than the first preset road section length threshold value to obtain residual navigation sub-road sections, calculating residual average speed corresponding to the residual navigation sub-road sections based on the residual road section length and the residual passing time corresponding to the residual navigation sub-road sections for each residual navigation sub-road section, comparing each residual average speed with a preset average speed threshold value, determining the residual navigation sub-road sections with the residual average speed smaller than or equal to the preset average speed threshold value as congestion sub-road sections, determining the residual navigation sub-