CN-121998531-A - New energy heavy truck cargo matching system and method based on battery health degree

CN121998531ACN 121998531 ACN121998531 ACN 121998531ACN-121998531-A

Abstract

The invention discloses a new energy heavy truck cargo matching system and method based on battery health, and relates to the technical field of truck cargo matching, wherein the method comprises the steps of constructing a dynamic capacity portrait based on current battery data of a vehicle and predicting the maximum accumulated operation mileage in the current day; according to the current SOC, accumulated operation mileage on the same day and weight of goods to be matched, determining equivalent endurance capacity by referring to weight sensitive factors corresponding to energy consumption levels of the lines to be matched, determining an upper limit of available mileage by combining residual available limits, extracting round-trip energy consumption characteristic values of the lines to be matched, calculating estimated energy consumption mileage, pre-screening by using the upper limit of available mileage, matching the image with the energy consumption levels of the lines and corresponding thresholds of accumulated discharge depth, incorporating a feasible line set by a qualified person, screening order control total number of passes, and sorting and pushing according to the image adaptation degree and the line history matching success rate.

Inventors

DU SONGLIN
ZHANG LIYANG
LEI TAO
Sadamu Shadik
WANG BINGQUAN
WANG XIAOFENG
YU JIONG
DU XUSHENG

Assignees

杭州骋风而来数字科技有限公司
新疆丝路融创网络科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260410

Claims (10)

1. A new energy heavy truck cargo matching method based on battery health is characterized by comprising the following steps: S10, constructing a dynamic capacity portrait and predicting the maximum accumulated operation mileage on the basis of the current battery health degree SOH, SOH decay rate, battery rated total capacity, historical full mileage utilization rate and accumulated discharge depth of the vehicle; s20, correcting the maximum accumulated operating mileage of the current day basis by combining the historical full mileage utilization rate with the energy consumption fluctuation coefficient of the vehicle historical operating route in the line energy consumption feature library to obtain the maximum accumulated operating mileage of the current day; S30, determining equivalent endurance capacity according to the current state of charge (SOC), the accumulated operation mileage on the same day and the weight to be matched, referring to the weight sensitive factor corresponding to the energy consumption level of the line to be matched, and determining the upper limit of the available mileage by combining the residual available amount; S40, extracting a round trip energy consumption characteristic value of a line to be matched, calculating an estimated energy consumption mileage, and pre-screening a threshold value corresponding to the accumulated depth of discharge through matching of an available mileage upper limit, a dynamic capacity image and a line energy consumption level and inclusion of a qualified person into a feasible line set; S50, determining the residual circulative times of the current day according to the accumulated depth of discharge, screening the total number of passes of order control, and sorting and pushing according to the adaptation degree of dynamic transport capacity images and the history matching success rate of lines; S60, recording actual operation data, updating related parameters, correcting the corresponding relation between the line energy consumption level and the weight sensitive factor and the line history matching success rate.
2. The method for matching heavy trucks with new energy based on battery health according to claim 1, wherein the step S10 comprises the following steps: S11, acquiring a current battery health degree SOH value, SOH decay rate and battery rated total capacity of a vehicle in a preset history period, and acquiring a history full-load mileage utilization rate and accumulated discharge depth of the vehicle from a history database; S12, obtaining the current theoretical maximum driving mileage of the vehicle based on the current battery health SOH value and the rated total capacity of the battery; S13, determining an attenuation trend coefficient of the vehicle battery performance according to the SOH attenuation rate, dynamically correcting the attenuation trend coefficient by combining the historical full mileage utilization rate and the accumulated depth of discharge, and attenuating the theoretical maximum driving mileage by utilizing the corrected attenuation trend coefficient to obtain the maximum accumulated operation mileage of the vehicle on the basis of the current day; S14, the current battery health SOH value, the SOH decay rate, the battery rated total capacity, the historical full mileage utilization rate, the accumulated discharge depth and the actual available driving mileage are combined to form a dynamic operation capacity portrait of the vehicle.
3. The method for matching heavy trucks with new energy based on battery health according to claim 1, wherein the step S20 comprises the following steps: S21, acquiring a historical full-load mileage utilization rate of the vehicle in a preset historical period, wherein the historical full-load mileage utilization rate refers to the proportion of the mileage of the vehicle in a full-load state to the total synchronous operation mileage; S22, extracting an energy consumption fluctuation coefficient related to a vehicle historical operation route from a line energy consumption feature library, wherein the energy consumption fluctuation coefficient represents the energy consumption discrete degree of a route travelled by a vehicle; s23, acquiring a corresponding mileage correction coefficient according to the historical full mileage utilization rate and the energy consumption fluctuation coefficient, and acquiring the current day maximum accumulated operation mileage based on the current day base maximum accumulated operation mileage and the mileage correction coefficient.
4. The method for matching heavy trucks with new energy based on battery health according to claim 1, wherein the step S30 comprises the following steps: S31, acquiring a current SOC value of the vehicle and accumulated operation mileage on the same day, and simultaneously acquiring the weight of goods to be matched; S32, extracting a corresponding cargo weight sensitivity factor from a line energy consumption feature library according to the energy consumption level of a line to be matched, wherein the cargo weight sensitivity factor is used for representing the amplification degree of the cargo weight on the cruising influence under the line, determining the influence coefficient of the cargo weight on the cruising of the vehicle according to the corresponding relation between the cargo weight and the cruising influence coefficient and combining the cargo weight sensitivity factor, and acquiring the equivalent cruising capacity of the vehicle by utilizing the influence coefficient; And S33, acquiring a residual available limit based on the maximum accumulated operation mileage of the current day and the accumulated operation mileage of the current day, and comparing the equivalent endurance capacity with the residual available limit to select a smaller value as an upper limit of the available mileage of the vehicle.
5. The method for matching heavy trucks with new energy based on battery health according to claim 1, wherein the step S40 comprises the following steps: S41, extracting a round trip energy consumption characteristic value corresponding to a line to be matched, and calculating estimated energy consumption mileage required by a vehicle to finish the line to be matched according to the round trip energy consumption characteristic value; S42, judging whether the estimated energy consumption mileage is smaller than or equal to the upper limit of the available mileage, and judging whether the estimated energy consumption mileage is matched with the energy consumption level of the line according to the dynamic capacity portrait; S43, acquiring a residual recyclable frequency threshold corresponding to the current accumulated discharge depth of the vehicle, and directly excluding the line if the residual recyclable frequency threshold is broken through due to the estimated discharge depth corresponding to the estimated energy consumption mileage of the line; s44, under the condition that the estimated energy consumption mileage meets the mileage upper limit requirement, the dynamic capacity portrait is matched with the line energy consumption level and the residual circulating times threshold is not broken through, the line is brought into a feasible line set.
6. The method for matching heavy trucks with new energy based on battery health according to claim 1, wherein the step S50 comprises the following steps: S51, acquiring the accumulated discharge depth of the vehicle, wherein the accumulated discharge depth represents the discharge accumulation degree of the vehicle battery in a preset history period and is matched with the health state of the vehicle battery; s52, determining the residual recyclable frequency of the vehicle on the same day according to the corresponding relation between the accumulated discharging depth and the residual recyclable frequency, wherein the residual recyclable frequency refers to the upper limit of the charge and discharge cycle frequency of the vehicle battery which can be continuously completed on the same day in the current state; S53, screening orders to be matched from the feasible line set, so that the total number of passes of the selected orders does not exceed the residual circulative number; And S54, sorting the screened orders according to the adaptation degree score from high to low, and pushing the sorted orders to corresponding vehicles, wherein the adaptation degree score is obtained based on the matching degree of the dynamic capacity portraits of the vehicles, the energy consumption level of the lines and the historical matching success rate of the lines.
7. The new energy heavy truck cargo matching system based on the battery health degree is characterized by comprising a picture construction module, a mileage correction module, a usable mileage module, a line screening module and a pushing update module; The portrait construction module is used for constructing a dynamic operation capacity portrait and predicting the maximum accumulated operation mileage of the current day basis of the vehicle based on the current battery health degree SOH, SOH decay rate, battery rated total capacity, historical full-load mileage utilization rate and accumulated discharge depth of the vehicle; The mileage correction module is used for correcting the current day base maximum accumulated operating mileage by combining the historical full mileage utilization rate with the energy consumption fluctuation coefficient of the vehicle historical operating route extracted from the line energy consumption feature library to obtain the current day maximum accumulated operating mileage; The available mileage module is used for determining equivalent endurance capacity according to the current state of charge (SOC) of the vehicle, the accumulated operation mileage on the same day and the weight of the goods to be matched, and referring to the weight sensitive factor corresponding to the energy consumption level of the line to be matched, and determining the upper limit of the available mileage of the vehicle by combining the residual available amount of the maximum accumulated operation mileage on the same day; The circuit screening module is used for extracting the round trip energy consumption characteristic value of the circuit to be matched, calculating the estimated energy consumption mileage, and pre-screening the residual recyclable frequency threshold corresponding to the current accumulated discharge depth of the vehicle and matching the available mileage upper limit and the dynamic capacity image with the circuit energy consumption level, so as to bring the circuit meeting the condition into a feasible circuit set; The pushing update module is used for determining the residual circulative times of the current day according to the accumulated depth of discharge of the vehicle, screening orders from the feasible line set to ensure that the total number of passes does not exceed the residual circulative times, sequencing and pushing the orders according to the adaptation degree of the dynamic operation image and the line energy consumption level and the line history matching success rate, recording the actual operation data, updating the historical full mileage utilization rate, the line energy consumption characteristic value and the accumulated depth of discharge, and correcting the corresponding relation between the line energy consumption level and the weight sensitive factor and the line history matching success rate.
8. The battery health-based new energy heavy truck cargo matching system of claim 7, wherein: The portrait construction module comprises a parameter acquisition unit, a theoretical mileage unit and an attenuation correction unit; The parameter acquisition unit is used for acquiring the current battery health SOH value, SOH decay rate in a preset history period and battery rated total capacity of the vehicle, and acquiring the history full mileage utilization rate and accumulated discharge depth of the vehicle from a history database; The theoretical mileage unit is used for obtaining the current theoretical maximum driving mileage of the vehicle based on the current battery health SOH value and the rated total capacity of the battery; The attenuation correction unit is used for determining an attenuation trend coefficient of the vehicle battery performance according to the SOH attenuation rate, dynamically correcting the attenuation trend coefficient by combining the historical full mileage utilization rate and the accumulated discharge depth, and reducing the theoretical maximum driving mileage by utilizing the corrected attenuation trend coefficient to obtain the maximum accumulated operation mileage of the vehicle on the basis of the current day.
9. The battery health-based new energy heavy truck cargo matching system of claim 7, wherein: The mileage correction module comprises a utilization rate acquisition unit, a fluctuation coefficient unit, a correction coefficient unit and a mileage correction unit; The utilization rate acquisition unit is used for acquiring the historical full-load mileage utilization rate of the vehicle in a preset historical period, wherein the historical full-load mileage utilization rate refers to the proportion of the mileage of the vehicle in a full-load state to the synchronous total operation mileage; The fluctuation coefficient unit is used for extracting an energy consumption fluctuation coefficient related to a vehicle historical operation route from a line energy consumption feature library, and the energy consumption fluctuation coefficient represents the energy consumption discrete degree of a route travelled by a vehicle; The correction coefficient unit is used for acquiring a corresponding mileage correction coefficient according to the historical full mileage utilization rate and the energy consumption fluctuation coefficient; and the mileage correction unit is used for obtaining the maximum accumulated operating mileage on the current day based on the maximum accumulated operating mileage on the current day and the mileage correction coefficient.
10. The battery health-based new energy heavy truck cargo matching system of claim 7, wherein: the pushing and updating module comprises a circulation times unit, an order screening unit, a sorting pushing unit and a data updating unit; The cycle number unit is used for acquiring the accumulated discharging depth of the vehicle and determining the residual cycle number of the vehicle on the same day according to the corresponding relation between the accumulated discharging depth and the residual cycle number according to the accumulated discharging depth; The order screening unit is used for screening the orders to be matched from the feasible line set, so that the total number of passes of the selected orders does not exceed the residual circulative times; The sorting pushing unit is used for sorting and pushing the screened orders according to the matching degree score from high to low, and the matching degree score is obtained by the matching degree of the dynamic capacity portraits of the vehicles, the energy consumption level of the lines and the historical matching success rate of the lines; the data updating unit is used for recording the actual operation data, updating the historical full mileage utilization rate of the vehicle, the energy consumption characteristic value of the line and the accumulated discharge depth, and correcting the corresponding relation between the line energy consumption level and the weight sensitive factor and the line historical matching success rate according to the matching result.

Description

New energy heavy truck cargo matching system and method based on battery health degree Technical Field The invention relates to the technical field of vehicle-cargo matching, in particular to a new energy heavy truck cargo matching system and method based on battery health. Background Under the large-scale operation background of new energy heavy truck, the matching of vehicles and goods is used as a core link for linking the transportation capacity and the goods demand, and the rationality of the vehicle and goods is directly used for determining the operation efficiency, the battery loss degree and the comprehensive operation cost. The existing vehicle-cargo matching technology has obvious short plates, is limited to simple matching of cargoes and basic transportation capacity of vehicles, is not fully combined with the uniqueness of a new energy heavy truck taking a battery as a core power source, and particularly does not take the health state of the battery into the core consideration of matching logic, so that the matching scheme lacks pertinence and scientificity. The traditional technology does not construct a dynamic capacity portrait deeply coupled with the battery health, the mileage calculation only depends on a single parameter, the cooperative influence of historical operation data and line energy consumption characteristics is not considered, the determination of equivalent endurance capacity does not correlate the adaptation relation between the cargo weight and the line energy consumption level, and a full-flow parameter feedback updating mechanism is lacked. The problems of insufficient vehicle endurance, excessive battery discharge, invalid order matching and the like are easy to occur in the matching process, the accurate matching of the transport capacity resources and the cargo demands cannot be realized, the operation efficiency is reduced, the battery loss is accelerated, the service life of the battery is shortened, the operation cost is increased, the operation economy and the battery health protection are difficult to consider, and the actual demands of new energy heavy truck regulation and fine operation cannot be met. Disclosure of Invention The invention aims to provide a new energy heavy truck cargo matching system and method based on battery health, which are used for solving the problems in the prior art. In order to achieve the purpose, the invention provides the following technical scheme that the new energy heavy truck goods matching method based on the battery health degree comprises the following steps: s10, constructing a dynamic capacity portrait based on the current battery health degree SOH, SOH decay rate, battery rated total capacity, historical full mileage utilization rate and accumulated discharge depth of the vehicle, and predicting the maximum accumulated operation mileage on the basis of the current day based on battery state parameters and mileage constraint parameters in the dynamic capacity portrait; S20, carrying out double-dimensional correction on the current-day maximum accumulated operating mileage according to the historical full mileage utilization rate and the energy consumption fluctuation coefficient of the vehicle historical operating route matched with the type of the vehicle historical driving route and the road condition in the line energy consumption feature library, so as to obtain the current-day maximum accumulated operating mileage with the influence of energy consumption fluctuation and load deviation removed; S30, according to the current state of charge SOC, the accumulated operation mileage on the same day and the weight of the goods to be matched, associating and binding the weight of the goods to be matched with the energy consumption level of the line to be matched, determining the equivalent endurance capacity of the comprehensive battery residual quantity and the load working condition by referring to the weight sensitive factor corresponding to the energy consumption level of the line to be matched and used for quantifying the effect of the weight of the goods on endurance attenuation amplification, representing the maximum mileage of the vehicle which can be safely driven at present by the equivalent endurance capacity, and determining the upper limit of the available mileage which is simultaneously constrained by the battery state, the operated mileage and the weight of the goods by combining the residual available amount; S40, extracting round trip energy consumption characteristic values of a line to be matched, including round trip mileage, road condition energy consumption and gradient loss, calculating estimated energy consumption mileage reflecting actual energy consumption conversion mileage of the line, matching an available mileage upper limit constrained by a safe driving threshold of a vehicle, an image matched with the transportation requirement of the line with the energy consumption level of the line, and pre-s