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CN-121848995-B - Static electric quantity balance control method, equipment and medium for light commercial electric vehicle

CN121848995BCN 121848995 BCN121848995 BCN 121848995BCN-121848995-B

Abstract

The application discloses a static electric quantity balance control method, equipment and medium of a light commercial electric vehicle, and relates to the technical field of electric quantity control, wherein the method comprises the steps of collecting multisource state parameters under the static working condition of the vehicle; the method comprises the steps of generating a power supply mode decision instruction corresponding to a multi-source state parameter based on a preset power supply priority rule and a dynamic balancing strategy, calculating a state of charge difference index based on the state of charge of each power battery, generating a dynamic grouping balancing instruction when the state of charge difference index exceeds a preset difference threshold value, carrying out safety risk judgment by combining voltage and temperature change trend of each power battery based on environment temperature and insulation impedance data, generating a safety protection instruction when the safety risk is judged to exist, and controlling an electric quantity balancing system of a vehicle to enter into sleep states of different grades or be awakened from the sleep states according to the duration of static working conditions and the change of real-time power requirements.

Inventors

  • YAN MING
  • CHANG JIUPENG
  • WANG CHENG
  • YUAN XIAOLING

Assignees

  • 潍柴新能源商用车有限公司

Dates

Publication Date
20260512
Application Date
20260317

Claims (10)

  1. 1.A method for controlling static electricity balance of a light commercial electric vehicle, the method comprising: the method comprises the steps of collecting multisource state parameters of a vehicle under a static working condition in real time, wherein the multisource state parameters comprise the state of charge and the state of health of each power battery, the state of charge of a low-voltage storage battery, the real-time power requirement of a vehicle-mounted load, the ambient temperature and insulation resistance data of a high-voltage loop; Generating a power supply mode decision instruction corresponding to the multi-source state parameter based on a preset power supply priority rule and a dynamic balance strategy to control power supply path switching among a power battery, a low-voltage storage battery and a solar power supply module and adapt to the real-time power demand, wherein the power supply mode decision instruction is used for indicating at least one of a power battery pack, the low-voltage storage battery or an external power supply device to supply power to the vehicle-mounted load; Calculating a state of charge difference index based on the states of charge of the power batteries, and generating a dynamic grouping balance instruction when the state of charge difference index exceeds a preset difference threshold value so as to control energy transfer among the battery packs and reduce the state of charge difference among the battery packs; based on the environmental temperature and the insulation resistance data, combining the voltage and temperature change trend of each power battery, judging the safety risk, and generating a safety protection instruction when judging that the safety risk exists so as to adjust the system operation parameters or trigger the protection action; And controlling the electric quantity balance system of the vehicle to enter into sleep states of different grades or be awakened from the sleep states according to the duration of the static working condition and the change of the real-time power demand.
  2. 2. The method for controlling static electric quantity balance of a light commercial electric vehicle according to claim 1, wherein generating the power supply mode decision instruction corresponding to the multi-source state parameter based on a preset power supply priority rule and a dynamic balance strategy specifically comprises: acquiring the real-time power demand, the overall state of charge of a power battery pack, the state of charge of the low-voltage storage battery and the current output power of an external power supplementing device; Judging whether the real-time power demand is smaller than or equal to a preset first power threshold value, judging whether the current output power of the external power supply device is larger than zero, and if so, generating a first decision instruction, wherein the first decision instruction is used for indicating to use the external power supply device to supply power for a vehicle load; if not, judging whether the real-time power demand is greater than the preset first power threshold, judging whether the overall state of charge of the power battery pack is greater than a preset first electric quantity threshold, and if so, generating a second decision instruction; If the real-time power demand is greater than the preset first power threshold and the overall state of charge of the power battery pack is less than or equal to the preset first electric quantity threshold, judging whether the state of charge of the low-voltage storage battery is greater than a preset second electric quantity threshold, and if so, generating a third decision instruction; and if the state of charge of the low-voltage storage battery is smaller than or equal to the preset second electric quantity threshold value, generating a fourth decision instruction, wherein the fourth decision instruction is used for indicating to start a forced charging process, and supplementing electricity to the low-voltage storage battery by the power battery pack or the external electricity supplementing device.
  3. 3. The method for controlling static electric quantity balance of a light commercial electric vehicle according to claim 1, wherein the method for controlling static electric quantity balance of a light commercial electric vehicle is characterized by calculating a state of charge difference index based on states of charge of each power battery, and generating a dynamic grouping balance instruction to control energy transfer among battery packs and reduce the state of charge difference among the battery packs when the state of charge difference index exceeds a preset difference threshold value, and specifically comprises: Calculating standard deviation of the states of charge of all power batteries in the power battery pack, and taking the standard deviation as a state of charge difference index; Comparing the state of charge difference index with a preset difference threshold; When the state of charge difference index is larger than the preset difference threshold, dividing all the power batteries into a plurality of equalization subgroups according to the state of charge value of each power battery, so that the difference between the maximum value and the minimum value of the states of charge of the power batteries in the same equalization subgroup is smaller than or equal to a preset grouping tolerance threshold; Generating a dynamic grouping equalization instruction to perform bidirectional energy transfer among a plurality of equalization subgroups and inside each equalization subgroup through a bidirectional direct current converter, wherein the dynamic grouping equalization instruction comprises a plurality of equalization subgroup division information and target equalization current.
  4. 4. The method for controlling static electric quantity balance of a light commercial electric vehicle according to claim 3, wherein generating a dynamic grouping balance command specifically comprises: Acquiring the state of charge, temperature gradient and health state of each power battery; The state of charge, the temperature gradient and the health state of each power battery are input into a fuzzy controller, so as to carry out fuzzy processing, fuzzy rule reasoning and defuzzification calculation on the state of charge, the temperature gradient and the health state and output a control value of a target balanced current; and integrating the multiple equalization subgroup dividing information and the control value of the target equalization current to form a dynamic grouping equalization instruction.
  5. 5. The method for controlling static electric quantity balance of a light commercial electric vehicle according to claim 1, wherein based on the environmental temperature and the insulation resistance data, combining the voltage and temperature change trend of each power battery, performing safety risk judgment, specifically comprising: injecting a high-frequency alternating current signal into a vehicle high-voltage loop, and detecting the response of the high-frequency alternating current signal; performing spectrum analysis on the detected response signal, and calculating the current insulation impedance value of the high-voltage loop; comparing the current insulation impedance value with a preset multistage insulation impedance threshold value, and judging an insulation fault grade according to a comparison result, wherein the insulation fault grade comprises a primary alarm and a secondary alarm; And calculating the voltage fluctuation rate and the temperature rise rate of each power battery in real time, combining the environmental temperature and the gas sensing data, and inputting the environmental temperature and the gas sensing data into a pre-trained long-short-period memory network prediction model so as to output the current thermal runaway risk probability value.
  6. 6. The method for controlling static electricity balance of a light commercial electric vehicle according to claim 5, wherein when it is determined that there is a safety risk, generating a safety protection instruction specifically includes: When judging that the insulation fault grade is a primary alarm, generating a first safety instruction, wherein the first safety instruction is used for indicating a power supply switching module to cut off power supply to a non-critical vehicle-mounted load; Generating a second safety instruction when judging that the insulation fault grade is a secondary alarm, wherein the second safety instruction is used for indicating a power supply switching module to execute the full power-off operation of the high-voltage system and starting a system self-checking program; when the thermal runaway risk probability value is larger than a preset first risk probability threshold value, a third safety instruction is generated, wherein the third safety instruction is used for indicating the vehicle to raise the heat dissipation power to the maximum value and triggering an audible and visual alarm device; And when the thermal runaway risk probability value is larger than a preset second risk probability threshold value and smaller than or equal to the preset first risk probability threshold value, generating a fourth safety instruction, wherein the fourth safety instruction is used for indicating to reduce the balanced current and improve the temperature sampling frequency of each power battery.
  7. 7. The method for controlling static electric quantity balance of a light commercial electric vehicle according to claim 1, wherein the method for controlling the electric quantity balance system of the vehicle to enter into or be awakened from sleep states of different grades according to the duration of the static working condition and the change of the real-time power demand comprises the following steps: Monitoring the stationary duration of a vehicle and comparing the stationary duration with a preset sleep time threshold; Generating a shallow sleep instruction when the rest duration is longer than a preset first sleep threshold and is smaller than or equal to a preset second sleep threshold, wherein the shallow sleep instruction is used for indicating to close a vehicle-mounted display screen and an entertainment information system and maintaining power supply of other vehicle-mounted loads and a communication network; And when the rest duration time is longer than the preset second sleep threshold value, generating a deep sleep instruction, wherein the deep sleep instruction is used for indicating to disconnect the high-voltage bus and only maintaining the standby of the controller local area network communication and the low-power consumption wireless communication module.
  8. 8. The method for controlling static charge balance of a light commercial electric vehicle according to claim 7, further comprising: In a deep sleep state, controlling a low-power consumption wireless communication module to send a heartbeat packet to a remote monitoring platform according to a preset time interval, wherein the heartbeat packet comprises a vehicle identity and basic state data; Continuously monitoring a remote wake-up instruction of the remote monitoring platform, a wake-up signal sent by a vehicle key or a power abrupt change signal of the vehicle-mounted load through the low-power wireless communication module; And generating a system wake-up instruction when any one of the remote wake-up instruction, the wake-up signal or the power abrupt change signal is monitored, wherein the system wake-up instruction is used for indicating to resume the connection of the high-voltage bus, and starting the vehicle and each vehicle-mounted load step by step in a power-on mode so that the vehicle exits from a sleep state.
  9. 9. A static electricity balance control device for a light commercial electric vehicle, the device comprising: At least one processor; And a memory communicatively coupled to the at least one processor; Wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method of static charge balance control for a light commercial electric vehicle according to any one of claims 1-8.
  10. 10. A non-volatile computer storage medium storing computer executable instructions which, when executed, implement a method of controlling static charge balance of a light commercial electric vehicle according to any one of claims 1 to 8.

Description

Static electric quantity balance control method, equipment and medium for light commercial electric vehicle Technical Field The application relates to the technical field of electric quantity control, in particular to a static electric quantity balance control method, equipment and medium for a light commercial electric vehicle. Background With the popularization of light commercial electric vehicles such as new energy logistics vehicles, cold chain distribution vehicles and the like, the energy management problem of the vehicles under static working conditions is increasingly prominent. In actual operation, a large number of parking operation scenes exist in the vehicles, such as loading and unloading goods, waiting for dispatching or parking at night, and during this time, the vehicle-mounted low-voltage systems such as a refrigerating unit, a communication module, monitoring equipment and the like still need to continuously operate. The current mainstream battery management system mainly performs energy scheduling optimization aiming at the running working condition of the vehicle, only basic low-voltage power supply is usually maintained under the static working condition, and a refined control strategy for multi-source energy cooperative scheduling is lacked, so that the power battery is frequently in a shallow charging and shallow discharging state in the static standby process, considerable electric quantity loss is caused, and the cycle life attenuation of the battery is accelerated. Disclosure of Invention The embodiment of the application provides a static electric quantity balance control method, equipment and medium for a light commercial electric vehicle, which are used for solving the technical problems. In one aspect, an embodiment of the present application provides a static electricity balance control method for a light commercial electric vehicle, including: the method comprises the steps of collecting multisource state parameters of a vehicle under a static working condition in real time, wherein the multisource state parameters comprise the state of charge and the state of health of each power battery, the state of charge of a low-voltage storage battery, the real-time power requirement of a vehicle-mounted load, the ambient temperature and insulation resistance data of a high-voltage loop; Generating a power supply mode decision instruction corresponding to the multi-source state parameter based on a preset power supply priority rule and a dynamic balance strategy to control power supply path switching among a power battery, a low-voltage storage battery and a solar power supply module and adapt to the real-time power demand, wherein the power supply mode decision instruction is used for indicating at least one of a power battery pack, the low-voltage storage battery or an external power supply device to supply power to the vehicle-mounted load; Calculating a state of charge difference index based on the states of charge of the power batteries, and generating a dynamic grouping balance instruction when the state of charge difference index exceeds a preset difference threshold value so as to control energy transfer among the battery packs and reduce the state of charge difference among the battery packs; based on the environmental temperature and the insulation resistance data, combining the voltage and temperature change trend of each power battery, judging the safety risk, and generating a safety protection instruction when judging that the safety risk exists so as to adjust the system operation parameters or trigger the protection action; And controlling the electric quantity balance system of the vehicle to enter into sleep states of different grades or be awakened from the sleep states according to the duration of the static working condition and the change of the real-time power demand. In one implementation manner of the present application, based on a preset power supply priority rule and a dynamic balancing policy, a power supply mode decision instruction corresponding to the multi-source state parameter is generated, which specifically includes: acquiring the real-time power demand, the overall state of charge of a power battery pack, the state of charge of the low-voltage storage battery and the current output power of an external power supplementing device; Judging whether the real-time power demand is smaller than or equal to a preset first power threshold value, judging whether the current output power of the external power supply device is larger than zero, and if so, generating a first decision instruction, wherein the first decision instruction is used for indicating to use the external power supply device to supply power for a vehicle load; if not, judging whether the real-time power demand is greater than the preset first power threshold, judging whether the overall state of charge of the power battery pack is greater than a preset first electric quantity threshold, an