Method and system for monitoring electric quantity of battery of electric vehicle

Abstract

The invention belongs to the technical field of battery monitoring, and particularly relates to an electric vehicle battery capacity monitoring method and system. The electric vehicle battery capacity monitoring method comprises the steps that a user initiates a battery query instruction through a mobile terminal; the mobile terminal encrypts the battery query instruction and transmits the encrypted battery query instruction to the cloud server; the cloud server decrypts and verifies the battery query instruction, and forwards the battery query instruction to the T-Box of the target vehicle after the verification is passed; the T-Box obtains the battery electric quantity and / or the battery state information through the battery management module, and transmits the battery electric quantity and / or the battery state information back to the cloud server; and the cloud server transmits the battery electric quantity and / or the battery state information back to the mobile terminal for display. According to the invention, the user can initiatively initiate the query of the battery power and the battery state at any time and any place at the mobile terminal, and the query result is displayed at the mobile terminal, so that the query flexibility is improved.

Description

Technical Field

[0001] This invention belongs to the field of battery monitoring technology, and particularly relates to a method and system for monitoring the battery charge of electric vehicles. Background Technology

[0002] With the rapid development of new energy vehicles and the continuous improvement of people's living standards, the number of new energy vehicles on the road is increasing. Key technologies of automotive safety assistance systems have received increasing attention, and the ability to monitor the status of a vehicle's small battery (rechargeable battery) anytime, anywhere has also become a major concern. With the development of intelligent connected vehicle technology, remote vehicle status monitoring has become one of the core needs of users.

[0003] Current technology includes an electric vehicle battery status monitoring system that uses the vehicle controller to monitor abnormal battery conditions. When an abnormality is detected, an alarm message is sent to a cloud server and a handheld terminal via the onboard communication terminal. However, this method only allows passive reception of alarm messages via the handheld terminal when an abnormality occurs, lacking a way for users to actively and continuously monitor the battery's charge level and status. When the user's need to remotely monitor the vehicle's battery charge level and status cannot be met, the passive reception method lacks flexibility. Summary of the Invention

[0004] To overcome the shortcomings of the prior art, this invention provides a method and system for monitoring the battery power of electric vehicles. It constructs a vehicle battery power and battery status monitoring system with a cloud server as a relay, a mobile terminal as the query request initiator, and an in-vehicle terminal as the responder. This system enables users to proactively initiate queries on battery power and battery status anytime and anywhere on their mobile terminals, and displays the query results on the mobile terminals, thus improving the flexibility of the query.

[0005] To achieve the above objectives, one or more embodiments of the present invention provide the following technical solutions: The first aspect of this invention provides a method for monitoring the battery charge of an electric vehicle.

[0006] The method for monitoring the battery charge of an electric vehicle includes the following steps: Users initiate a battery query command via mobile terminal; The mobile terminal encrypts the battery query command and transmits it to the cloud server; The cloud server decrypts and verifies the battery query command. Once the verification is successful, the battery query command is forwarded to the T-Box of the target vehicle. The T-Box obtains battery power and / or battery status information through the battery management module and transmits the battery power and / or battery status information back to the cloud server. The cloud server transmits battery power and / or battery status information back to the mobile terminal for display.

[0007] A second aspect of the present invention provides an electric vehicle battery power monitoring system.

[0008] Electric vehicle battery power monitoring system, including: The user command sending module is configured to allow users to initiate battery query commands via mobile terminals. The first forwarding module is configured to: encrypt the battery query command from the mobile terminal and transmit it to the cloud server; The second forwarding module is configured as follows: the cloud server decrypts and verifies the battery query command, and after the verification is successful, forwards the battery query command to the T-Box of the target vehicle. The data acquisition module is configured such that the T-Box acquires battery power and / or battery status information through the battery management module and transmits the battery power and / or battery status information back to the cloud server. The feedback module is configured to allow the cloud server to transmit battery power and / or battery status information back to the mobile terminal for display.

[0009] A third aspect of the present invention provides a computer-readable storage medium having a program stored thereon that, when executed by a processor, implements the steps of the electric vehicle battery power monitoring method as described in the first aspect of the present invention.

[0010] A fourth aspect of the present invention provides an electronic device including a memory, a processor, and a program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps in the electric vehicle battery power monitoring method as described in the first aspect of the present invention.

[0011] The above one or more technical solutions have the following beneficial effects: This invention provides a method and system for monitoring the battery power of electric vehicles. It constructs a vehicle battery power and battery status monitoring system with a cloud server as a relay, a mobile terminal as the query request initiator, and an in-vehicle terminal as the responder. This system enables users to proactively initiate queries on battery power and battery status anytime and anywhere on their mobile terminals, and displays the query results on the mobile terminals, thus improving the flexibility of the query.

[0012] This invention constructs a multi-layered security protection system through mobile terminal login verification, encrypted data transmission, and cloud-based abnormal command interception to ensure the security of data transmission.

[0013] This invention utilizes the vehicle's battery management module to achieve multi-dimensional state parameter processing, accurately estimating battery charge and predicting battery state information. When acquiring battery charge information, it uses a combination of ampere-hour integration and open-circuit voltage correction to estimate the battery's state of charge (SOC). When acquiring battery state information, it combines the number of charge-discharge cycles and the temperature decay coefficient to calculate the battery's state of health (SOH). Ultimately, this results in more accurate response information.

[0014] This invention also features a passive display function. The battery management module periodically calculates battery power and / or battery status information and actively sends it to the cloud server on a regular schedule. The cloud server periodically forwards the battery power and / or battery status information to the mobile terminal, which then updates and displays the information on a regular schedule, enabling the timely updating of battery information and proactive warnings.

[0015] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0016] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0017] Figure 1 This is a flowchart of the method in Example 1. Detailed Implementation

[0018] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0019] It should be noted that the terminology used herein is for the purpose of describing particular implementations only and is not intended to limit the exemplary implementations of the present invention.

[0020] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0021] Example 1 Traditional vehicle battery (accumulator) status monitoring primarily relies on dashboard displays or maintenance and testing equipment, and cannot directly obtain the status of the small battery (accumulator) via a mobile app. Current technology suffers from the following technical limitations: (1) Limitations of monitoring methods.

[0022] 1) Disadvantages of traditional methods: The dashboard display is only viewable from inside the vehicle and cannot be accessed remotely.

[0023] Professional testing equipment: requires physical connection, not real-time monitoring.

[0024] 2) Technical difficulties in implementation: Low-power communication: The energy balance problem of small battery-powered systems needs to be solved.

[0025] Data standardization: Battery parameters vary greatly between different car models (voltage range is usually 12V to 14.5V).

[0026] Real-time requirement: The status refresh delay must be controlled within 5 seconds.

[0027] (2) Upgraded user needs.

[0028] Users expect to achieve this through smart terminals (such as mobile apps): Real-time voltage / health status visualization; Active early warning of abnormal conditions (such as triggering an alarm when the voltage is below 11.5V).

[0029] To address the limitations of traditional monitoring methods in actively and remotely acquiring the status of the small battery (accumulator), and in monitoring the status of the small battery (accumulator) anytime and anywhere, this embodiment establishes communication between a remote terminal device (such as a mobile APP) and the vehicle ECU to remotely monitor the status of the small battery (accumulator).

[0030] like Figure 1 As shown, the method for monitoring the battery power of an electric vehicle includes the following steps: Users initiate a battery query command via mobile terminal; The mobile terminal encrypts the battery query command and transmits it to the cloud server; The cloud server decrypts and verifies the battery query command. Once the verification is successful, the battery query command is forwarded to the T-Box of the target vehicle. The T-Box obtains battery power and / or battery status information through the battery management module and transmits the battery power and / or battery status information back to the cloud server. The cloud server transmits battery power and / or battery status information back to the mobile terminal for display.

[0031] This embodiment enables precise monitoring of the vehicle's small battery (storage battery) status via mobile terminals such as smartphone apps. The achieved results mainly include the following core elements: First, an efficient and reliable data transmission channel has been established between mobile terminals, cloud servers, and in-vehicle T-Boxes; Second, the vehicle's battery management module implements multi-dimensional state parameter processing to accurately estimate battery power and predict battery state information. Third, the mobile terminal adopts a cross-platform technology solution; Fourth, a multi-layered security protection system has been built through mobile terminal login verification, encrypted data transmission, and cloud-based abnormal command interception. Fifth, the user interaction experience has been optimized. Users can proactively check the vehicle battery status anytime and anywhere, or passively receive vehicle battery warning information sent by the cloud server at regular intervals.

[0032] like Figure 1 As shown, the method provided in this embodiment of the invention includes the following steps S1 to S4.

[0033] S1. The user initiates the command from a mobile terminal such as a mobile APP.

[0034] When a user logs into an app on a mobile device, identity verification is required first. The user completes biometric verification (fingerprint / facial recognition) or dynamic password verification through the app. This ensures the security of the mobile device user's login process.

[0035] The mobile app uses HTTPS protocol and the national cryptographic SM4 algorithm to encrypt control commands (such as clicking the "Battery Status" query button). The app sends the encrypted commands to the car manufacturer's cloud server (usually deployed in a distributed data center).

[0036] S2, cloud-based risk control processing.

[0037] After receiving a battery status query command from a user, the cloud server first needs to verify the user's account permissions, device binding status, and service validity period. This embodiment employs a triple verification mechanism: First, user account permissions are checked to determine whether the user who sent the battery query command is qualified to query. If the user has query permissions, the device binding status will be verified again to determine whether the mobile terminal user has been bound to the target vehicle. If the mobile terminal user has been bound to the target vehicle, the service validity period will be verified at the end.

[0038] It can be understood that the battery query commands initiated by the users mentioned above specifically include power level query commands and / or battery status query commands.

[0039] After completing the triple verification, the cloud server still needs to determine whether the query command is abnormal. This embodiment uses a rule engine to assess risks in real time (such as logins from different locations, high-frequency operations) and intercept abnormal requests. Specifically, this includes: Calculate the frequency of user battery queries within a set time period to determine whether the user's battery query operation is a high-frequency operation. Determine whether a user's login on a mobile device constitutes a login from a different location; When a user performs a battery query, which is a high-frequency operation, or when a user logs in from a different location, the command is deemed abnormal and the abnormal command is intercepted.

[0040] Once the current query command is determined to be a normal command, the command is sent to the T-Box (vehicle communication module) of the target vehicle through the dedicated APN channel.

[0041] S3, Vehicle-side command execution.

[0042] When a user initiates a query, the vehicle may be in a running or dormant state. If the vehicle is in dormant state, the T-Box wakes up the Body Controller (BCM) via the LIN bus. If the vehicle is already running, it communicates directly with the corresponding ECU via the CAN bus.

[0043] S4, ECU response and status feedback.

[0044] The corresponding subsystems in the vehicle's electronic and electrical architecture perform operations. The ECU transmits the execution result (success / failure) back to the cloud via the T-Box, and then pushes it to the APP. Vehicle sensor data is periodically reported to the cloud via the T-Box, and the APP interface is dynamically updated.

[0045] Specifically, the battery management module in the vehicle obtains the specific results of the user's query, namely battery power information and battery status information.

[0046] The battery management module obtains battery power information, and the specific process includes: The battery management module collects the voltage and internal resistance parameters of the vehicle battery, where the battery internal resistance is calculated by the ratio of voltage change to current change. The state of charge (SOC) of a battery is estimated by combining the ampere-hour integration method with open-circuit voltage correction.

[0047] The battery management module obtains battery status information, and the specific process includes: The battery management module collects battery temperature data and charge / discharge cycle count information; Calculate the battery's temperature degradation coefficient based on battery temperature data; The state of health (SOH) of the battery is calculated based on the number of cycles and the temperature decay coefficient.

[0048] Battery state of health (SOH) is typically defined as the percentage of a battery’s current maximum usable capacity relative to its nominal initial capacity. Its calculation is an cumulative and predictive process that takes into account both cycle aging (related to the number of charge-discharge cycles) and calendar aging (related to time, temperature, etc.).

[0049] A simplified model for calculating the state of health (SOH) of a battery can be expressed as follows: SOH=100% (Dcycle+Dcalendar) in: Dcycle is the capacity decay caused by the number of cycles; Dcalendar's capacity decay is caused by calendar aging (primarily affected by temperature and time).

[0050] Specifically: Cycle degradation (Dcycle): Directly related to the number of charge-discharge cycles. It is typically assumed that each complete charge-discharge cycle results in a small capacity loss. The BMS accumulates the equivalent cycle count and multiplies it by a degradation factor based on the battery chemistry.

[0051] Dcycle is obtained by accumulating the equivalent number of cycles and multiplying it by a decay factor based on the battery's chemical characteristics.

[0052] Calendar decay (Dcalendar): Proportional to time and significantly affected by the temperature decay coefficient (k_T). The higher the temperature, the greater the capacity loss per unit time. Its calculation integrates the temperature effect over historical time periods.

[0053] Dcalendar obtains a temperature weighting coefficient by integrating the temperature influence over a historical period, and then multiplies the temperature weighting coefficient by a time coefficient to obtain the final value.

[0054] The time factor can be obtained by comparing the current usage time with the battery's rated lifespan.

[0055] Therefore, the final SOH is the initial health (100%) minus the cumulative capacity loss caused by the combined effect of the number of cycles and the time after temperature weighting.

[0056] The battery management module continuously monitors two key parameters, temperature and cycle count, and uses a built-in battery aging model to calculate the temperature degradation coefficient and ultimately assess the battery state of health (SOH), thereby providing users with accurate battery life predictions and maintenance recommendations.

[0057] To more intuitively display the battery health status (SOH) to car owners, the health levels are divided as follows:

[0058] This embodiment enables accurate monitoring of the vehicle's small battery (storage battery) status via mobile terminals such as smartphone apps, and establishes a complete technical system, mainly including the following core elements: First, establish an efficient and reliable data transmission channel.

[0059] The vehicle-mounted unit converts battery data into a signal recognizable by the mobile device via a CAN FD to BLE gateway. It adopts a dual-mode communication design (BLE 5.2 + cellular network) to ensure connection stability, and the signal strength needs to be maintained above -85dBm.

[0060] The cloud uses the MQTT protocol for data relay and is equipped with a 200ms heartbeat detection mechanism. Mobile devices need to implement a 15-second fast reconnection function to cope with network fluctuations.

[0061] Second, it enables multi-dimensional state parameter processing.

[0062] The system needs to collect basic parameters such as voltage (12-bit ADC accuracy up to 3mV), internal resistance (calculated by the ΔV / ΔI formula, current change ≥5A), and temperature, and use the ampere-hour integration method combined with open-circuit voltage correction to estimate SOC (state of charge), while introducing the number of cycles and temperature decay coefficient to calculate SOH (state of health).

[0063] Under normal circumstances, data is compressed and uploaded every 5 minutes (compression rate 60%), and an alarm is triggered immediately in case of abnormality (delay <1 second).

[0064] Third, the mobile terminal adopts a cross-platform technology solution.

[0065] The system automatically selects the optimal connection method via BLE scanning (Bluetooth is preferred when signal strength is >70%), and after establishing a GATT connection, it subscribes to the 0xFFF1 feature value to parse CAN data. The application interface must maintain a 1Hz refresh rate, and a local SQLite database should be used to continuously store 30 days of historical data. Background service power consumption must be strictly controlled (daily power consumption <2%).

[0066] Fourth, construct a multi-layered security protection system.

[0067] Data transmission uses AES-128-GCM encryption to prevent eavesdropping, two-way certificate authentication to prevent device spoofing, CRC32 checksum and digital signature to ensure data integrity, and combines OAuth2.0 and RBAC permission models to achieve fine-grained access control.

[0068] Fifth, optimize the user interaction experience.

[0069] The system is designed with a three-level early warning mechanism: when the voltage is below 11.8V, an instant pop-up window and SMS reminder are triggered; when the state of harmonics (SOH) is below 70%, a weekly degradation trend report is generated; and when the internal resistance exceeds 8mΩ, maintenance services are automatically linked.

[0070] The system uses Unity3D to render a dynamic battery model and SVG vector graphics to display the health status in a circular pattern. It supports 7-day / 30-day historical data viewing with sliding and zooming.

[0071] The technical solution of this embodiment can ultimately achieve a routine status update within 3 seconds and an emergency alarm response within 0.5 seconds, a voltage monitoring accuracy of ±0.05V, a SOC estimation error of ±3%, and can be adapted to most OBD-II interface vehicle models, comprehensively solving the problems of poor real-time performance and insufficient accuracy of traditional monitoring methods.

[0072] The method provided in this embodiment enables mobile terminals such as mobile apps to monitor the status of vehicle batteries. Compared with traditional detection methods, it has comprehensive advantages, mainly reflected in four dimensions: real-time monitoring, accurate diagnosis, ease of use, and safety.

[0073] Traditional methods rely on regular manual inspections, often conducted only monthly or quarterly, which fails to detect sudden problems in a timely manner. In contrast, mobile apps can update data in seconds, triggering alerts within 0.5 seconds for situations such as sudden voltage drops and abnormal internal resistance, in conjunction with cloud storage and 30-day local cyclic recording.

[0074] Mobile app monitoring can provide early warnings of potential faults 24-48 hours in advance, preventing sudden vehicle breakdowns. It achieves multi-parameter fusion analysis to accurately determine the battery's true condition. Users do not need to purchase specialized equipment, saving time, effort, and costs. It eliminates the safety hazards of manual inspection and protects data privacy.

[0075] Mobile terminal APP monitoring surpasses traditional methods in terms of real-time performance, accuracy, cost, and security, enabling a leap from "passive maintenance" to "proactive health management".

[0076] Example 2 This embodiment discloses an electric vehicle battery power monitoring system.

[0077] Electric vehicle battery power monitoring system, including: The user command sending module is configured to allow users to initiate battery query commands via mobile terminals. The first forwarding module is configured to: encrypt the battery query command from the mobile terminal and transmit it to the cloud server; The second forwarding module is configured as follows: the cloud server decrypts and verifies the battery query command, and after the verification is successful, forwards the battery query command to the T-Box of the target vehicle. The data acquisition module is configured such that the T-Box acquires battery power and / or battery status information through the battery management module and transmits the battery power and / or battery status information back to the cloud server. The feedback module is configured to allow the cloud server to transmit battery power and / or battery status information back to the mobile terminal for display. Example 3 The purpose of this embodiment is to provide a computer-readable storage medium.

[0078] A computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the steps of the electric vehicle battery power monitoring method as described in Embodiment 1 of this disclosure.

[0079] Example 4 The purpose of this embodiment is to provide an electronic device.

[0080] An electronic device includes a memory, a processor, and a program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps in the electric vehicle battery power monitoring method as described in Embodiment 1 of this disclosure.

[0081] The steps and methods involved in the apparatuses of Embodiments 2, 3, and 4 above correspond to those in Embodiment 1. For specific implementation details, please refer to the relevant description section of Embodiment 1. The term "computer-readable storage medium" should be understood as a single medium or multiple media including one or more instruction sets; it should also be understood as including any medium capable of storing, encoding, or carrying an instruction set for execution by a processor and enabling the processor to perform any of the methods in this invention.

[0082] Those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computer devices. Optionally, they can be implemented using computer-executable program code, thereby allowing them to be stored in a storage device for execution by a computer device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. The present invention is not limited to any particular combination of hardware and software.

[0083] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A method for monitoring the battery charge of an electric vehicle, characterized in that, Includes the following steps: Users initiate a battery query command via mobile terminal; The mobile terminal encrypts the battery query command and transmits it to the cloud server; The cloud server decrypts and verifies the battery query command. Once the verification is successful, the battery query command is forwarded to the T-Box of the target vehicle. The T-Box obtains battery power and / or battery status information through the battery management module and transmits the battery power and / or battery status information back to the cloud server. The cloud server transmits battery power and / or battery status information back to the mobile terminal for display.

2. The electric vehicle battery power monitoring method as described in claim 1, characterized in that: The mobile terminal uses HTTPS protocol and the national cryptographic SM4 algorithm to encrypt the battery query command; The cloud server forwards the battery query command to the target vehicle's T-Box via a dedicated APN channel; If the target vehicle is in a dormant state, the T-Box wakes up the Body Control Module (BCM) via the LIN bus; if the target vehicle is already running, the T-Box communicates directly with the corresponding ECU via the CAN bus.

3. The electric vehicle battery power monitoring method as described in claim 1, characterized in that, The cloud server performs triple verification on the battery query command, namely user account permission verification, device binding status verification, and service validity period verification.

4. The electric vehicle battery power monitoring method as described in claim 1, characterized in that, After receiving the battery query command, the cloud server also needs to determine whether the command is abnormal, specifically including: Calculate the frequency of user battery queries within a set time period to determine whether the user's battery query operation is a high-frequency operation. Determine whether a user's login on a mobile device constitutes a login from a different location; When a user performs a battery query, which is a high-frequency operation, or when a user logs in from a different location, the command is deemed abnormal and the abnormal command is intercepted.

5. The electric vehicle battery power monitoring method as described in claim 1, characterized in that, The battery management module obtains battery power information, and the specific process includes: The battery management module collects the voltage and internal resistance parameters of the vehicle battery, where the battery internal resistance is calculated by the ratio of voltage change to current change. The state of charge (SOC) of a battery is estimated by combining the ampere-hour integration method with open-circuit voltage correction.

6. The electric vehicle battery power monitoring method as described in claim 1, characterized in that, The battery management module obtains battery status information, and the specific process includes: The battery management module collects battery temperature data and charge / discharge cycle count information; Calculate the battery's temperature degradation coefficient based on battery temperature data; The state of health (SOH) of the battery is calculated based on the number of cycles and the temperature decay coefficient. Battery state of health (SOH) is defined as: SOH=100% (Dcycle+Dcalendar) Where: Dcycle is the capacity decay caused by the number of cycles; Dcalendar is the capacity decay caused by calendar aging. Dcycle is obtained by accumulating the equivalent number of cycles and multiplying it by a decay coefficient based on the battery chemistry. Dcalendar obtains a temperature weighting coefficient by integrating the temperature influence over a historical period, and then multiplies the temperature weighting coefficient by a time coefficient to obtain the final value.

7. The electric vehicle battery power monitoring method as described in claim 1, characterized in that, Also includes: The battery management module periodically calculates battery power and / or battery status information and proactively sends it to the cloud server on a regular schedule. The cloud server periodically forwards battery power and / or battery status information to the mobile terminal, which then updates and displays the information periodically.

8. An electric vehicle battery power monitoring system, characterized in that, include: The user command sending module is configured to allow users to initiate battery query commands via mobile terminals. The first forwarding module is configured to: encrypt the battery query command from the mobile terminal and transmit it to the cloud server; The second forwarding module is configured as follows: the cloud server decrypts and verifies the battery query command, and after the verification is successful, forwards the battery query command to the T-Box of the target vehicle. The data acquisition module is configured such that the T-Box acquires battery power and / or battery status information through the battery management module and transmits the battery power and / or battery status information back to the cloud server. The feedback module is configured to allow the cloud server to transmit battery power and / or battery status information back to the mobile terminal for display.

9. A computer-readable storage medium having a program stored thereon, characterized in that, When executed by the processor, the program implements the steps in the electric vehicle battery power monitoring method as described in any one of claims 1-7.

10. An electronic device comprising a memory, a processor, and a program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the electric vehicle battery power monitoring method as described in any one of claims 1-7.

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