A vehicle energy management method and system based on battery state of health and vehicle

Abstract

The present application relates to the technical field of vehicle energy management, and specifically provides a vehicle energy management method and system based on battery health state and a vehicle, the method comprising: obtaining the battery health state of a power battery through a battery management system of the vehicle; determining the aging grade of the power battery according to the battery health state and a preset gradient determination threshold; calling the whole vehicle energy control parameters matched with the aging grade, the whole vehicle energy control parameters comprising the upper limit of battery charging and discharging power, the effective working interval of battery SOC, the upper limit of driving motor assistance ratio and the engine energy supplement control strategy; and cooperatively regulating the power battery, driving motor and engine of the vehicle according to the called whole vehicle energy control parameters. The present application realizes the whole life cycle adaptive energy regulation of the hybrid vehicle through the gradient classification of the battery health state, can take into account the fuel economy of the whole vehicle, the service life of the power battery and the running reliability of the whole vehicle, and effectively reduces the whole cycle use cost of the vehicle.

Description

Technical Field

[0001] This invention relates to the field of vehicle energy management technology, and in particular to a vehicle energy management method, system and vehicle based on battery health status. Background Technology

[0002] Hybrid vehicles rely on the coordinated operation of the engine, battery, and drive motor to balance power output and energy consumption optimization. The health of the battery directly determines the vehicle's fuel economy, power stability, and lifespan. Currently, the energy management systems of existing hybrid vehicles generally use fixed parameter control logic. The upper limit of battery charging and discharging power, the SOC operating range, the motor assist ratio, and the engine's refueling start-stop strategy are all factory-calibrated and cannot adaptively adjust to the aging and degradation characteristics of the battery throughout its entire life cycle, resulting in poor intelligent adaptability.

[0003] The existing technology has significant shortcomings: brand new, slightly aged, high-healthy batteries are limited by conservative solidification strategies, which prevent them from fully releasing their performance, resulting in high fuel consumption and wasted power resources; moderately and severely aged batteries still operate at high load parameters, and long-term inefficient operation will accelerate the surge in internal resistance and capacity decay, easily causing problems such as battery overheating and abnormal voltage difference; at the same time, the battery aging status is not linked to the engine refueling strategy, resulting in an imbalance in the energy distribution of the whole vehicle, which further exacerbates the contradiction between battery aging and energy consumption.

[0004] In summary, existing hybrid energy management technologies lack sophisticated SOH gradient grading and vehicle adaptive control mechanisms, and cannot balance fuel economy, power reliability, and battery durability throughout the vehicle's entire lifecycle. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a vehicle energy management method, system and vehicle based on battery health status. Through deep collaboration between the vehicle controller and the battery management system, the aging status of the power battery is identified in real time and a four-level gradient classification system is established to match differentiated vehicle energy control strategies and achieve adaptive management and control throughout the entire life cycle.

[0006] To achieve the above objectives, the present invention is implemented using the following technical solution:

[0007] In a first aspect, the present invention provides a vehicle energy management method based on battery health status, comprising:

[0008] The battery health status of the vehicle's power battery is obtained through the vehicle's battery management system.

[0009] Based on the battery health status and a preset gradient judgment threshold, the aging condition of the power battery is graded and the aging level of the power battery is determined.

[0010] Retrieve vehicle energy control parameters that match the aging level; wherein, the vehicle energy control parameters include the upper limit of battery charging and discharging power, the effective operating range of battery SOC, the upper limit of drive motor assist ratio, and the engine energy replenishment control strategy;

[0011] Based on the retrieved vehicle energy control parameters, the vehicle's power battery, drive motor, and engine are coordinated and controlled.

[0012] In some embodiments of the present invention, the aging level includes brand new state, slightly aged state, moderately aged state, and heavily aged state.

[0013] In some embodiments of the present invention, the aging condition of the power battery is graded and determined according to the battery health status and a preset gradient judgment threshold, including:

[0014] If the battery health status is not less than the first gradient judgment threshold, the power battery is determined to be in a brand new state.

[0015] If the battery health status is greater than or equal to the second gradient judgment threshold and less than the first gradient judgment threshold, the power battery is determined to be in a slightly aged state.

[0016] If the battery health status is greater than or equal to the third gradient judgment threshold and less than the second gradient judgment threshold, the power battery is determined to be in a moderate aging state.

[0017] If the battery health status is less than the third gradient determination threshold, the power battery is determined to be in a severely aged state.

[0018] In some embodiments of the present invention, the gradient determination threshold is set in combination with the power battery capacity degradation mechanism, the power battery internal resistance evolution characteristics and the hybrid vehicle energy management boundary.

[0019] In some embodiments of the present invention, the vehicle energy control parameters matched to the new state are configured as follows:

[0020] The upper limit of battery charging and discharging power is set to peak power, the effective working range of battery SOC is set to 65% to 85%, the upper limit of drive motor assist ratio is set to 75%, and the engine adopts a delayed energy replenishment strategy.

[0021] The vehicle energy control parameters matched for the slight aging condition are configured as follows:

[0022] The upper limit of battery charging and discharging power is reduced by 5% to 10% compared to the peak power, the effective working range of battery SOC is set to 55% to 75%, the upper limit of drive motor assist ratio is set to 60%, and the engine adopts a steady-state energy replenishment strategy.

[0023] In some embodiments of the present invention, the vehicle energy control parameters matched to the moderate aging state are configured as follows:

[0024] The upper limit of battery charging and discharging power is reduced by 20% to 25% compared to the peak power, the effective working range of battery SOC is set to 45% to 65%, the upper limit of drive motor assist ratio is set to 40%, and the engine adopts an advance energy replenishment strategy.

[0025] The vehicle energy control parameters matched for the severe aging condition are configured as follows:

[0026] The upper limit of battery charging and discharging power is reduced by 35% to 40% compared to the peak power, the effective operating range of battery SOC is set to 35% to 55%, the upper limit of drive motor assist ratio is set to 25%, and the engine adopts a continuous energy replenishment strategy.

[0027] Secondly, the present invention also provides a vehicle energy management system based on battery health status, the system comprising:

[0028] The battery health status acquisition module is used to acquire the battery health status of the vehicle's power battery through the vehicle's battery management system.

[0029] The aging level determination module is used to classify and determine the aging status of the power battery based on the battery health status and a preset gradient determination threshold, and to determine the aging level of the power battery.

[0030] The vehicle energy control parameter matching module is used to retrieve vehicle energy control parameters that match the aging level; wherein, the vehicle energy control parameters include the upper limit of battery charging and discharging power, the effective working range of battery SOC, the upper limit of drive motor assist ratio, and the engine energy replenishment control strategy.

[0031] The power system coordinated control module is used to coordinate and control the vehicle's power battery, drive motor, and engine based on the retrieved vehicle energy control parameters.

[0032] Thirdly, the present invention also provides a vehicle, including: a battery management system, a vehicle controller, a power battery, an engine, and a drive motor;

[0033] The battery management system is connected to the vehicle controller via a CAN bus.

[0034] The battery management system is used to manage the power battery;

[0035] The vehicle controller is signal-connected to the engine and the drive motor respectively;

[0036] The vehicle controller incorporates the aforementioned vehicle energy management system based on battery health status.

[0037] Fourthly, the present invention also provides an electronic device, including: a processor, and a memory storing a program, the program including instructions that, when executed by the processor, cause the processor to perform the above-described vehicle energy management method based on battery health status.

[0038] Fifthly, the present invention also provides a non-transitory machine-readable medium storing computer instructions for causing the computer to execute the above-described vehicle energy management method based on battery health status.

[0039] Compared with the prior art, the above-described technical solution of the present invention has the following advantages:

[0040] The vehicle energy management method based on battery health status proposed in this invention achieves adaptive energy regulation of hybrid vehicles throughout their entire lifecycle through gradient gradation of battery health status. This method balances overall vehicle fuel economy, battery lifespan, and vehicle operational reliability, effectively reducing the overall cost of vehicle use. For brand-new, slightly aged, high-healthy power batteries, this invention fully releases the battery's charging and discharging performance and the motor's assist capability, reducing redundant engine operation and ineffective energy replenishment, maximizing the energy-saving advantages of electric drive, and overcoming the shortcomings of traditional solutions such as conservative control of new batteries and high fuel consumption. This significantly optimizes the economics of new and nearly new vehicles. For moderately and severely aged power batteries, this invention avoids long-term overcharging and over-discharging, and high-rate, high-load operation of the battery by narrowing the SOC operating range, constraining peak charging and discharging power, reducing instantaneous impact load on the motor, and optimizing the engine's smooth energy replenishment logic. This effectively suppresses the increase in cell internal resistance and capacity decay, slows down battery aging, and reduces the high replacement costs caused by premature battery failure. Meanwhile, the hierarchical and refined management can avoid faults such as power output fluctuations, cell overheating, and abnormal single-cell voltage differences caused by aging batteries, ensuring stable operation of batteries in each aging stage, improving power stability and operational safety under complex vehicle conditions, reducing the frequency of vehicle failures, and simultaneously alleviating the after-sales warranty pressure on automakers. The overall solution has strong engineering feasibility and outstanding market application value. Attached Figure Description

[0041] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention, and those skilled in the art can obtain other embodiments based on these drawings without creative effort.

[0042] Figure 1 This is a schematic flowchart of a vehicle energy management method based on battery health status provided in an embodiment of the present invention;

[0043] Figure 2 This is a schematic diagram of a vehicle energy management system based on battery health status provided in an embodiment of the present invention;

[0044] Figure 3 A schematic diagram of the structure of the electronic device provided in the embodiment of the present invention. Detailed Implementation

[0045] Embodiments of the present invention will now be described in more detail with reference to the accompanying drawings. While some embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of protection of the present invention.

[0046] like Figure 1 As shown, this embodiment of the invention provides a vehicle energy management method based on battery health status. Figure 1 This is a flowchart illustrating a vehicle energy management method based on battery health status. This flowchart only shows the logical sequence of the method in this embodiment. In other possible embodiments of the invention, different methods may be used, provided they do not conflict with each other. Figure 1 Complete the steps shown or described in the order indicated.

[0047] See Figure 1 The method of this invention specifically includes the following steps:

[0048] Step S101: Obtain the State of Health (SOH) of the vehicle's power battery through the vehicle's Battery Management System (BMS).

[0049] The battery management system (BMS) is the core monitoring unit of the power battery. It can collect raw operating data such as cell voltage, total voltage, charging and discharging current, cell temperature, and static voltage in real time. Based on the built-in capacity identification algorithm and DC internal resistance online identification algorithm, it continuously estimates the current state of equilibrium (SOH) value of the power battery. The BMS periodically refreshes the SOH and sends the valid SOH signal to the vehicle control unit (VCU) through the vehicle's CAN bus.

[0050] Step S102: Based on the battery health status and the preset gradient judgment threshold, the aging condition of the power battery is graded and the aging level of the power battery is determined.

[0051] The aging level of this invention is set to four levels: brand new, slightly aged, moderately aged, and heavily aged.

[0052] The gradient judgment threshold is set by combining the power battery capacity degradation mechanism, the power battery internal resistance evolution characteristics, and the energy management boundary of the hybrid vehicle.

[0053] When the battery health status is ≥95%, the battery capacity, internal resistance, and polarization characteristics are close to the factory nominal state, with no obvious aging degradation, and it can operate at full load and high efficiency. When the battery health status is between 85% and 95%, the battery only has slight cycle degradation, and the core performance has not deteriorated. Only minor optimization of the operating conditions is needed to balance energy saving and life protection. When the battery health status is between 75% and 85%, the battery internal resistance increases significantly, the effective capacity shows a phased decline, the risk of inefficient operation increases, and the workload needs to be actively controlled. When the battery health status is <75%, the battery enters the mid-to-late aging stage, the performance consistency decreases, the risk of thermal runaway increases, and reliability protection should be the core objective. This classification range perfectly matches the non-linear degradation law of power batteries: "slow degradation - phased deterioration - rapid aging".

[0054] Specifically, the gradient determination threshold is set using a method of "battery aging test calibration + vehicle operating condition simulation iteration". First, the results of accelerated aging cycle test of the power battery are obtained to acquire the capacity retention rate, internal resistance increase, and efficiency inflection point characteristic parameters at different life stages. Second, combined with the simulation of typical operating conditions of hybrid vehicles such as urban, highway, and idle charging, the sudden change nodes of vehicle energy consumption and stability corresponding to battery performance degradation are determined.

[0055] In this embodiment of the invention, three gradient determination thresholds are set, namely the first gradient determination threshold, the second gradient determination threshold, and the third gradient determination threshold.

[0056] Based on the battery health status and preset gradient judgment thresholds, the aging condition of the power battery is graded and the aging level of the power battery is determined, including:

[0057] If the battery health status is not less than the first gradient judgment threshold, the power battery is determined to be in a brand new state; if the battery health status is greater than or equal to the second gradient judgment threshold and less than the first gradient judgment threshold, the power battery is determined to be in a slightly aged state; if the battery health status is greater than or equal to the third gradient judgment threshold and less than the second gradient judgment threshold, the power battery is determined to be in a moderately aged state; if the battery health status is less than the third gradient judgment threshold, the power battery is determined to be in a severely aged state.

[0058] In this embodiment of the invention, the first gradient determination threshold is 95%; the second gradient determination threshold is 85%; and the third gradient determination threshold is 75%.

[0059] Step S103: Retrieve the vehicle energy control parameters that match the aging level.

[0060] The vehicle energy control parameters include the upper limit of battery charging and discharging power, the effective operating range of battery SOC, the upper limit of drive motor assist ratio, and the engine energy replenishment control strategy.

[0061] The SOC operating range of this invention adopts a control approach that gradually narrows the range around 50% SOC.

[0062] The new vehicle energy control parameters are configured as follows:

[0063] The upper limit of battery charging and discharging power is set to peak power, the effective operating range of battery SOC is set to 65% to 85%, the upper limit of drive motor assist ratio is set to 75%, and the engine adopts a delayed energy replenishment strategy.

[0064] The effective operating range of battery SOC refers to the difference between the upper and lower limits of SOC.

[0065] The vehicle energy control parameters are configured for a slightly aged state as follows:

[0066] The upper limit of battery charging and discharging power is reduced by 5% to 10% from the peak power, the effective working range of battery SOC is set to 55% to 75%, the upper limit of drive motor assist ratio is set to 60%, and the engine adopts a steady-state energy replenishment strategy.

[0067] The vehicle energy control parameters are configured for moderate aging conditions as follows:

[0068] The upper limit of battery charging and discharging power is reduced by 20% to 25% compared to the peak power, the effective working range of battery SOC is set to 45% to 65%, the upper limit of drive motor assist ratio is set to 40%, and the engine adopts an advance energy replenishment strategy.

[0069] The vehicle energy control parameters are configured for severe aging conditions as follows:

[0070] The upper limit of battery charging and discharging power is reduced by 35% to 40% from the peak power, the effective working range of battery SOC is set to 35% to 55%, the upper limit of drive motor assist ratio is set to 25%, and the engine adopts a continuous energy replenishment strategy.

[0071] All vehicle energy control parameters corresponding to the aging level are pre-stored in the non-volatile storage area inside the vehicle controller. When the aging level changes, the vehicle controller updates the vehicle energy control parameters in a gradual transition manner rather than a step change, so as to avoid power surges and drastic fluctuations in battery current caused by power surges.

[0072] The upper limit of the drive motor assist ratio is used to divide the power output ratio between the engine and the motor. The higher the upper limit, the more drive load the motor bears. The engine delayed charging strategy prioritizes the use of battery power to drive the vehicle. Based on the vehicle's factory calibration, the lower limit of SOC for engine start-up charging is increased by 5%, delaying the engine's start-up power generation. The steady-state charging strategy adopts the charging logic of the vehicle's factory calibration, maintaining the standard SOC lower limit trigger threshold and controlling the engine to maintain a smooth charging in the efficient operating range. The early charging strategy lowers the lower limit of SOC for engine start-up charging based on the vehicle's factory calibration by 5%, starting the engine earlier for smooth charging compared to the conventional strategy, avoiding a rapid drop in battery SOC that would cause high-power battery discharge. The continuous charging strategy further lowers the lower limit of SOC for engine start-up charging based on the vehicle's factory calibration by 10%, allowing the engine to maintain basic power generation and keeping the battery SOC stably within a safe intermediate range.

[0073] The vehicle controller monitors the aging level of the power battery in real time and automatically switches the corresponding energy management strategy according to the current aging state of the battery: when the battery is in a brand new, slightly aged, high-health state, the battery charging and discharging limits are relaxed, the motor assist ratio is optimized, and the engine redundant energy replenishment is weakened to prioritize the ultimate fuel economy of the vehicle; when the battery is in a moderately or severely aged, low-health state, the upper limit of battery charging and discharging power is actively tightened, the effective working range of SOC is narrowed, the instantaneous assist load of the motor is reduced, and the steady-state energy replenishment logic of the engine is optimized to avoid inefficient high-load operation of the aging battery and prioritize the reliability of battery operation.

[0074] Step S104: Based on the retrieved vehicle energy control parameters, coordinate and regulate the vehicle's power battery, drive motor, and engine.

[0075] The vehicle controller uses the vehicle's required power as input, and combines this with the retrieved upper limit of battery charging and discharging power and battery SOC operating range constraints to dynamically allocate engine output power and power battery charging and discharging power. Simultaneously, the power consumption limit command and the upper limit command of the motor assist ratio are incorporated into the calculation of the motor torque feasible domain to obtain the motor torque command, which is then sent to the motor controller. The motor controller controls the motor output torque according to the torque command.

[0076] During vehicle operation, the battery SOH, SOC, and battery charging and discharging power are continuously monitored in a closed loop. When the operating parameters reach the boundary of the current grade range, the timing of engine start-up for energy replenishment is adjusted in advance to maintain the effective working range of battery SOC within the optimal range matching the aging grade.

[0077] This invention proposes a vehicle energy management method based on battery health status. Utilizing a gradient-level strategy for battery health status, it achieves adaptive energy regulation throughout the entire lifecycle of hybrid vehicles. This method achieves an optimal balance between overall vehicle fuel economy, power battery lifespan, and vehicle operational reliability, effectively reducing the total lifecycle cost of the vehicle. For brand-new, slightly aged, high-health-state power batteries, this invention overcomes the drawbacks of traditional energy management schemes, such as conservative control and low battery performance utilization. It fully releases the charging and discharging potential of the power battery and the assist performance of the drive motor. By simplifying redundant engine operation and reducing ineffective energy replenishment, it maximizes the energy-saving advantages of the electric drive system, significantly optimizing the overall fuel economy of new and nearly new vehicles. While ensuring vehicle power response performance, it effectively reduces daily fuel consumption for users.

[0078] For moderately and severely aged power batteries in a low-health state, the method employs refined and protective energy management logic. By narrowing the battery's safe operating range of state of charge (SOC), constraining peak charging and discharging power, reducing instantaneous impact loads on the motor, and optimizing the engine's stable and continuous recharge strategy, it fundamentally avoids damaging conditions such as overcharging, over-discharging, and high-rate load operation of aging batteries. This effectively suppresses aging problems such as a surge in cell internal resistance and rapid capacity decay, slowing down the aging rate of power batteries, preventing premature battery failure, and significantly reducing the high cost of battery replacement for users. Simultaneously, this hierarchical adaptive management mode effectively improves issues such as power output fluctuations, cell heat accumulation, and individual cell voltage consistency deviations that occur during the operation of aging batteries. It comprehensively enhances the operational stability of batteries throughout the entire aging process and the adaptability to complex vehicle operating conditions, reducing vehicle failure rates and alleviating the after-sales warranty burden on automakers. The overall solution requires no new hardware and can be implemented using the existing vehicle control system, demonstrating strong engineering practicality and versatility, and possessing extremely high mass production promotion value and market application prospects.

[0079] Based on the vehicle energy management method based on battery health status provided in the above embodiments, the present invention also provides a vehicle energy management system based on battery health status. The solution provided by this system is similar to the solution described in the above method. Therefore, the specific limitations of the vehicle energy management system based on battery health status provided below can be found in the limitations of the vehicle energy management method based on battery health status above, and will not be repeated here.

[0080] like Figure 2 As shown, this embodiment of the invention also provides a vehicle energy management system based on battery health status, including:

[0081] The battery health status acquisition module is used to acquire the battery health status of the vehicle's power battery through the vehicle's battery management system.

[0082] The aging level determination module is used to classify and determine the aging status of the power battery based on the battery health status and preset gradient determination thresholds, and to determine the aging level of the power battery.

[0083] The vehicle energy control parameter matching module is used to retrieve vehicle energy control parameters that match the aging level; among them, the vehicle energy control parameters include the upper limit of battery charging and discharging power, the effective working range of battery SOC, the upper limit of drive motor assist ratio, and the engine energy replenishment control strategy.

[0084] The power system coordinated control module is used to coordinate and control the vehicle's power battery, drive motor, and engine based on the retrieved vehicle energy control parameters.

[0085] This invention also provides a vehicle, including: a battery management system, a vehicle controller, a power battery, an engine, and a drive motor;

[0086] The battery management system and the vehicle controller are connected via a CAN bus; the battery management system is used to manage the power battery; the vehicle controller is connected to the engine and the drive motor respectively; the vehicle controller has built-in the vehicle energy management system based on battery health status provided in the above-described embodiments.

[0087] Embodiments of the present invention also provide a non-transitory machine-readable medium storing a computer program, wherein the computer program, when executed by a computer's processor, is used to cause the computer to perform a vehicle energy management method based on battery health status, as described in the embodiments of the present invention.

[0088] Embodiments of the present invention also provide a computer program product, including a computer program, wherein the computer program, when executed by a computer's processor, is used to cause the computer to perform the vehicle energy management method based on battery health status, an embodiment of the present invention.

[0089] Embodiments of this invention also provide an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor. The memory stores a computer program executable by the at least one processor, which, when executed by the at least one processor, causes the electronic device to perform a vehicle energy management method based on battery health status, as described in this invention.

[0090] refer to Figure 3 The present invention will now describe a structural block diagram of an electronic device that can serve as an embodiment of the present invention, serving as an example of a hardware device applicable to various aspects of the present invention. The electronic device is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0091] like Figure 3 As shown, the electronic device includes a computing unit 101, which can perform various appropriate actions and processes based on a computer program stored in a read-only memory (ROM) 102 or a computer program loaded from a storage unit 108 into a random access memory (RAM) 103. The RAM 103 may also store various programs and data required for the operation of the electronic device. The computing unit 101, ROM 102, and RAM 103 are interconnected via a bus 104. An input / output (I / O) interface 105 is also connected to the bus 104.

[0092] Multiple components in the electronic device are connected to I / O interface 105, including: input unit 106, output unit 107, storage unit 108, and communication unit 109. Input unit 106 can be any type of device capable of inputting information into the electronic device. Input unit 106 can receive input digital or character information and generate key signal inputs related to user settings and / or function control of the electronic device. Output unit 107 can be any type of device capable of presenting information and may include, but is not limited to, a display, speaker, video / audio output terminal, vibrator, and / or printer. Storage unit 108 may include, but is not limited to, disks and optical discs. Communication unit 109 allows the electronic device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, and / or wireless communication transceivers, such as Bluetooth devices, WiFi devices, WiMax devices, cellular communication devices, and / or the like.

[0093] The computing unit 101 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 101 include, but are not limited to, CPUs, graphics processing units (GPUs), various special-purpose artificial intelligence (AI) computing units, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. The computing unit 101 performs the various methods and processes described above. For example, in some embodiments, the method embodiments of the present invention can be implemented as computer programs tangibly contained in a machine-readable medium, such as storage unit 108. In some embodiments, part or all of the computer program can be loaded and / or installed on an electronic device via ROM 102 and / or communication unit 109. In some embodiments, the computing unit 101 can be configured to perform the methods described above by any other suitable means (e.g., by means of firmware).

[0094] Computer programs for implementing the methods of embodiments of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0095] In the context of embodiments of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable signal medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, or infrared systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0096] It should be noted that the term "comprising" and its variations used in the embodiments of this invention are open-ended, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The modifications of "one" and "a plurality" mentioned in the embodiments of this invention are illustrative and not restrictive, and those skilled in the art should understand that unless explicitly indicated otherwise in the context, they should be understood as "one or more".

[0097] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the embodiments of this invention are subject to strict compliance with relevant laws, regulations, and regulatory requirements in their collection, storage, use, processing, transmission, provision, and disclosure, and adhere to the principles of legality, legitimacy, necessity, and good faith. The acquisition of relevant information and data is premised on the user's explicit consent or other legitimate reasons, and a clear and convenient authorization management approach is provided to the user, allowing the user to independently choose to consent, withdraw consent, or refuse to provide relevant information. For functions that rely on user information, if the user does not authorize or withdraws authorization, the corresponding technical function cannot be implemented, and the technical solution of this invention is not applicable in this scenario.

[0098] The steps described in the method embodiments provided by the present invention can be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of protection of the present invention is not limited in this respect.

[0099] The term "embodiment" in this specification refers to a specific feature, structure, or characteristic described in connection with an embodiment that may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily imply the same embodiment, nor does it imply independence or alternativeity from other embodiments. The various embodiments in this specification are described in a related manner, with reference to each other for similar or identical parts. In particular, for apparatus, device, and system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, and relevant details are referred to in the description of the method embodiments.

[0100] The above embodiments merely illustrate several implementation methods of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of protection. It should be noted that those skilled in the art can make various modifications and improvements without departing from the inventive concept of the present invention, and these all fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the appended claims.

Claims

1. A vehicle energy management method based on battery health status, characterized in that, include: The battery health status of the vehicle's power battery is obtained through the vehicle's battery management system. Based on the battery health status and a preset gradient judgment threshold, the aging condition of the power battery is graded and the aging level of the power battery is determined. Retrieve vehicle energy control parameters that match the aging level; wherein, the vehicle energy control parameters include the upper limit of battery charging and discharging power, the effective operating range of battery SOC, the upper limit of drive motor assist ratio, and the engine energy replenishment control strategy; Based on the retrieved vehicle energy control parameters, the vehicle's power battery, drive motor, and engine are coordinated and controlled.

2. The vehicle energy management method based on battery health status according to claim 1, characterized in that, The aging levels include brand new, slightly aged, moderately aged, and heavily aged.

3. The vehicle energy management method based on battery health status according to claim 2, characterized in that, Based on the battery health status and a preset gradient judgment threshold, the aging condition of the power battery is graded to determine the aging level of the power battery, including: If the battery health status is not less than the first gradient judgment threshold, the power battery is determined to be in a brand new state. If the battery health status is greater than or equal to the second gradient judgment threshold and less than the first gradient judgment threshold, the power battery is determined to be in a slightly aged state. If the battery health status is greater than or equal to the third gradient judgment threshold and less than the second gradient judgment threshold, the power battery is determined to be in a moderate aging state. If the battery health status is less than the third gradient determination threshold, the power battery is determined to be in a severely aged state.

4. The vehicle energy management method based on battery health status according to claim 3, characterized in that, The gradient determination threshold is set by combining the power battery capacity degradation mechanism, the power battery internal resistance evolution characteristics, and the energy management boundary of the hybrid vehicle.

5. The vehicle energy management method based on battery health status according to claim 2, characterized in that, The vehicle energy control parameters for the new state are configured as follows: The upper limit of battery charging and discharging power is set to peak power, the effective working range of battery SOC is set to 65% to 85%, the upper limit of drive motor assist ratio is set to 75%, and the engine adopts a delayed energy replenishment strategy. The vehicle energy control parameters matched for the slight aging condition are configured as follows: The upper limit of battery charging and discharging power is reduced by 5% to 10% compared to the peak power, the effective working range of battery SOC is set to 55% to 75%, the upper limit of drive motor assist ratio is set to 60%, and the engine adopts a steady-state energy replenishment strategy.

6. The vehicle energy management method based on battery health status according to claim 5, characterized in that, The vehicle energy control parameters matched for the moderate aging state are configured as follows: The upper limit of battery charging and discharging power is reduced by 20% to 25% compared to the peak power, the effective working range of battery SOC is set to 45% to 65%, the upper limit of drive motor assist ratio is set to 40%, and the engine adopts an advance energy replenishment strategy. The vehicle energy control parameters matched for the severe aging condition are configured as follows: The upper limit of battery charging and discharging power is reduced by 35% to 40% compared to the peak power, the effective operating range of battery SOC is set to 35% to 55%, the upper limit of drive motor assist ratio is set to 25%, and the engine adopts a continuous energy replenishment strategy.

7. A vehicle energy management system based on battery health status, characterized in that, include: The battery health status acquisition module is used to acquire the battery health status of the vehicle's power battery through the vehicle's battery management system. The aging level determination module is used to classify and determine the aging status of the power battery based on the battery health status and a preset gradient determination threshold, and to determine the aging level of the power battery. The vehicle energy control parameter matching module is used to retrieve vehicle energy control parameters that match the aging level; wherein, the vehicle energy control parameters include the upper limit of battery charging and discharging power, the effective working range of battery SOC, the upper limit of drive motor assist ratio, and the engine energy replenishment control strategy. The power system coordinated control module is used to coordinate and control the vehicle's power battery, drive motor, and engine based on the retrieved vehicle energy control parameters.

8. A vehicle, characterized in that, include: Battery management system, vehicle controller, power battery, engine and drive motor; The battery management system is connected to the vehicle controller via a CAN bus. The battery management system is used to manage the power battery; The vehicle controller is signal-connected to the engine and the drive motor respectively; The vehicle controller incorporates the vehicle energy management system based on battery health status as described in claim 7.

9. An electronic device, comprising: A processor and a memory storing a program, characterized in that the program includes instructions that, when executed by the processor, cause the processor to perform the vehicle energy management method based on battery health status according to any one of claims 1 to 6.

10. A non-transitory machine-readable medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to execute the vehicle energy management method based on battery health status according to any one of claims 1 to 6.

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