Intelligent charging energy monitoring system adapting to new energy automobile requirements

By integrating energy monitoring, intelligent control and energy management modules, the charging strategy is dynamically adjusted, solving the problems of dynamic strategy rigidity, health status monitoring lag and poor low-temperature adaptability of new energy vehicle charging systems, achieving an efficient and safe charging process and improving user experience.

CN120735653AActive Publication Date: 2025-10-03CHINA SOUTHERN POWER GRID ELECTRIC VEHICLE SERVICE CO LTD

Patent Information

Application Number
CN202511091388.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-05
Publication Date
2025-10-03
Estimated Expiration
2045-08-05

AI Technical Summary

Technical Problem

The existing new energy vehicle charging system has problems such as rigid dynamic charging strategy, delayed battery health status monitoring, single communication architecture, poor adaptability to low temperature environments, and lack of multi-source data fusion capabilities, resulting in low charging efficiency, poor safety and poor user experience.

Method used

The system integrates energy monitoring module, intelligent control module and energy management module to monitor current, voltage and temperature data in real time, dynamically adjust charging strategy, establish health assessment model, realize two-way data communication between the system and external devices, perform preheating in low temperature environment, and build a three-dimensional data acquisition network.

Benefits of technology

Improve charging efficiency by 15%-20%, extend battery life by 40%, reduce the risk of thermal runaway by 80%, enhance user experience and charging reliability, and shorten low-temperature charging time by 35%.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to the technical field of intelligent charging systems, and discloses an intelligent charging energy monitoring system suitable for new energy automobile demands, the system comprises an energy monitoring module, an intelligent control module, a communication module and an energy management module; the energy monitoring module is used for monitoring electric energy monitoring information in the charging process of the new energy automobile in real time; the intelligent control module is used for intelligently adjusting the charging process according to data provided by the energy monitoring module; and the communication module is used for completing data communication between the system and external equipment. According to the invention, the energy monitoring module monitors the electric energy monitoring information in the charging process in real time, and analyzes the battery temperature in the charging process, thereby dynamically obtaining the corresponding evaluation parameters in the evaluation periods of different charging stages, and adjusting the charging strategy in the adjustment period according to the evaluation parameters of the evaluation periods. Battery overheating can be effectively avoided, the service life of the battery is prolonged, and the charging efficiency is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of intelligent charging systems, and in particular to an intelligent charging energy monitoring system adapted to the needs of new energy vehicles. Background Art

[0002] With the rapid development of new energy vehicles, the demand for intelligent charging systems is increasing. These systems not only need to meet basic charging requirements but also consider charging efficiency, battery health management, and optimization of the user charging experience. In the field of new energy vehicle charging, existing technologies face the following technical issues that need to be addressed:

[0003] 1. Performance degradation caused by rigid dynamic charging strategies. Traditional charging systems generally use fixed-parameter charging modes that are unable to dynamically adjust according to the real-time battery status. For example, during the constant-current charging phase, the system charges at a constant 0.5C rate. When the battery temperature exceeds 45°C, the current is still not adjusted, resulting in excessive growth of the SEI film and an increase in internal resistance of more than 30%. During the constant-voltage phase, the cutoff voltage is fixed at 4.2V, ignoring the impact of temperature on lithium-ion insertion efficiency, creating the risk of overcharging. This rigid strategy causes the power battery's capacity retention rate to be less than 80% after 300 cycles, which is 25% faster than the dynamic adjustment solution.

[0004] 2. Outdated battery health monitoring methods. Existing monitoring systems rely heavily on static SOH estimation, determining health status solely through capacity decay and lacking real-time data collection of key parameters such as internal resistance and self-discharge rate. One mainstream vehicle model allows full-load charging even when the SOH is below 70%, increasing the probability of lithium dendrites penetrating the diaphragm fivefold. Monitoring data updates over a period of up to one hour, failing to promptly reflect sudden changes in battery health during the charge and discharge process. This allows the battery to continue operating in an abnormal state, accelerating thermal runaway.

[0005] 3. A single communication architecture constrains system coordination. Most charging systems utilize a one-way CAN bus, supporting only simple command exchanges between the charging station and the vehicle. Users cannot access charging details via mobile devices, and the automaker's backend only receives fault codes, not raw data. When a charging interruption occurs on a certain brand of vehicle, users must visit a dealership to retrieve the fault log, a process that takes an average of over two hours. This information silo leads to delayed charging strategy optimization, inefficient troubleshooting, and a user satisfaction score of less than 70%.

[0006] 4. Poor adaptability to low-temperature environments. Conventional systems, when charging below -10°C, do not implement preheating measures, which increases the charge transfer resistance of lithium ions threefold. Actual measurements in a northern region show that the battery temperature rise rate is only 0.3°C / min when charging at -20°C, extending the charging time to 200% of that at room temperature. Long-term low-temperature charging leads to lithium deposition in the negative electrode, resulting in a 15% annual decrease in capacity retention, far exceeding the 5% decrease achieved with dynamic temperature control solutions.

[0007] 5. Lack of multi-source data fusion capabilities. Existing systems process voltage, temperature, and current data in isolation, without establishing a correlation analysis model. For example, when a system detects voltage fluctuations, it only adjusts the charging rate without integrating temperature data to determine whether it is an internal resistance anomaly. This fragmented processing method results in anomaly diagnosis accuracy of less than 60% and a false alarm rate of up to 25%, seriously affecting charging reliability.

[0008] Therefore, the present invention provides an intelligent charging energy monitoring system that meets the needs of new energy vehicles.

[0009] After consulting the relevant disclosed technical solutions, the technology with publication number CN112356730A proposes a new energy vehicle intelligent charging system and charging method. The new energy vehicle intelligent charging system includes: a communication parking space, which has a coordinate positioning function and is used to park new energy vehicles for intelligent charging; a charging component, which is used to provide power supply for the new energy vehicle intelligent charging, including a charging pile and a mobile intelligent operation tool; an intelligent terminal, which is used to transmit and receive information on the intelligent charging of new energy vehicles; a data control center, which is used to receive unprocessed information, transfer data for processing, and send out processed information; wherein, the data control center is respectively connected to the intelligent terminal, the communication parking space, the charging pile and the mobile intelligent operation tool for communication. By applying the intelligent charging system and charging method of the present invention, the owner can realize intelligent and remote control operation of the intelligent charging of the new energy vehicle; the parking lot of the communication parking space can realize intelligent and unmanned management and control; and it is impossible to complete the adjustment for optimizing the charging speed of the new energy vehicle. Summary of the Invention

[0010] The purpose of the present invention is to provide an intelligent charging energy monitoring system that meets the needs of new energy vehicles, so as to solve the problems mentioned in the background technology, such as the performance degradation caused by the rigid dynamic charging strategy, the lag of battery health status monitoring means, the single communication architecture that restricts system coordination, the poor adaptability to low temperature environments, and the lack of multi-source data fusion capabilities in the existing technology.

[0011] To achieve the above objectives, the present invention provides the following technical solutions: an intelligent charging energy monitoring system adapted to the needs of new energy vehicles, the system comprising an energy monitoring module, an intelligent control module, a communication module and an energy management module;

[0012] The energy monitoring module is used to monitor the power monitoring information of the new energy vehicle during charging in real time; the intelligent control module is used to intelligently adjust the charging process according to the data provided by the energy monitoring module; the communication module is used to complete data communication between the system and external devices; the energy management module is used to manage the health of the battery;

[0013] The energy monitoring module includes a current and voltage monitoring unit, a battery status monitoring unit, and a temperature monitoring unit; the current and voltage monitoring unit is used to monitor the current and voltage data during the charging process in real time; the battery status monitoring unit is used to monitor the remaining power of the battery in real time; and the temperature monitoring unit is used to monitor the battery temperature in real time.

[0014] The intelligent control module includes a charging strategy optimization unit and an anomaly detection and response unit; the charging strategy optimization unit is used to intelligently adjust the charging strategy according to the real-time power flow information during the charging process; the anomaly detection and response unit is used to monitor the anomalies in the charging process in real time and make timely adjustment measures;

[0015] The energy management module includes a battery health management unit and a health adjustment unit; the battery health management unit is used to monitor the health of the battery; the health adjustment unit is used to adjust the rated charging parameters of the battery according to the health of the battery;

[0016] Furthermore, the charging strategy optimization unit adjusts the charging strategy in the following ways:

[0017] S1: Obtaining the battery's charging stages and rated charging parameters for each charging stage according to the battery's factory settings; the charging stages include a constant current charging stage and a constant voltage charging stage, and the rated charging parameters include a rated current and a maximum allowable current in the constant current charging stage, and a rated voltage and a maximum allowable voltage in the constant voltage charging stage;

[0018] S2: During the charging process, the energy monitoring module obtains real-time power monitoring information;

[0019] S3: Calculate current evaluation parameters and voltage evaluation parameters based on real-time power monitoring information;

[0020] S4: Adjusting the charging strategy according to the current evaluation parameter and the voltage evaluation parameter;

[0021] Furthermore, the current evaluation parameter is obtained in the following manner:

[0022] S311: Establishing a function of battery temperature on charging time during constant current charging , and after the constant current charging stage begins, that is, when the actual current is equal to the rated current, set a continuous evaluation cycle and adjustment cycle, where three consecutive evaluation time points are set in the evaluation cycle, and there are specified time intervals between adjacent evaluation time points ;

[0023] S312: After the third evaluation time point, that is, at the end of the evaluation cycle, calculate the current evaluation parameter :

[0024] ;

[0025] in, The preset ideal battery operating temperature is The battery temperature at the current evaluation time point; For function The derivative at the current evaluation time point, For function The derivative of the previous evaluation time point at the current evaluation time point, For function The derivative at the previous evaluation time point, is the weight control factor of the previous evaluation time point of the current evaluation time point, is the weight control factor of the previous evaluation time point, satisfying:

[0026] ;

[0027] ;

[0028] in, is the sensitivity adjustment coefficient, which is used to adjust the influence of temperature change on the weight control factor; is the battery temperature at the previous evaluation time point of the current evaluation time point, The battery temperature at the previous evaluation time point;

[0029] Furthermore, the voltage evaluation parameter is obtained in the following manner:

[0030] S321: Establishing a function of battery temperature on charging time during constant voltage charging , and after the constant voltage charging stage begins, that is, when the actual voltage is equal to the rated voltage, set a continuous evaluation cycle and adjustment cycle, where three consecutive evaluation time points are set in the evaluation cycle, and there are specified time intervals between adjacent evaluation time points ;

[0031] S322: After the third evaluation time point, that is, at the end of the evaluation cycle, calculate the voltage evaluation parameter :

[0032] ;

[0033] in, The preset ideal battery operating temperature is The battery temperature at the current evaluation time point; For function The derivative at the current evaluation time point, For function The derivative of the previous evaluation time point at the current evaluation time point, For function The derivative at the previous evaluation time point, is the weight control factor of the previous evaluation time point of the current evaluation time point, is the weight control factor of the previous evaluation time point, satisfying:

[0034] ;

[0035] ;

[0036] in, is the battery temperature at the previous evaluation time point of the current evaluation time point, The battery temperature at the previous evaluation time point;

[0037] Furthermore, the charging strategy optimization unit adjusts the charging strategy in the constant current charging stage according to the current evaluation parameter, and adjusts the charging strategy in the constant voltage charging stage according to the voltage evaluation parameter;

[0038] Furthermore, the charging strategy optimization unit adjusts the charging strategy in the subsequent adjustment period according to the current evaluation parameters obtained in the evaluation period. The specific content of the adjustment is as follows:

[0039] when If the actual current is greater than the rated current, the actual current will be adjusted towards the rated current until the actual current is equal to the rated current; if the actual current is less than or equal to the rated current, the current actual current will remain unchanged, and the user will be notified through the alarm system to start cooling adjustment measures;

[0040] when When is a preset current adjustment threshold, at which point the actual current is increased by a current unit adjustment value; the current unit adjustment value is a preset current adjustment increment, and satisfies that the actual current is less than the preset maximum allowable current during all adjustment processes;

[0041] when When the actual current is increased by two current unit adjustment values, the actual current is less than the preset maximum allowable current during all adjustment processes.

[0042] Furthermore, the charging strategy optimization unit adjusts the charging strategy in the subsequent adjustment period by using the voltage evaluation parameters obtained in the evaluation period. The specific contents of the adjustment are as follows:

[0043] when If the actual voltage is greater than the rated voltage, the actual voltage will be adjusted toward the rated voltage until the actual voltage is equal to the rated voltage; if the actual voltage is less than or equal to the rated voltage, the current actual voltage will remain unchanged, and the user will be notified through the alarm system to start cooling adjustment measures;

[0044] when When is a preset voltage adjustment threshold, at which point the actual voltage is increased by a voltage unit adjustment value; the voltage unit adjustment value is a preset voltage adjustment increment, and satisfies that the actual current is less than the preset maximum allowable current during all adjustment processes;

[0045] when When , the actual current is increased by two voltage unit adjustment values; and the actual current is less than the preset maximum allowable current during all adjustment processes.

[0046] The present invention provides an intelligent charging energy monitoring system that meets the needs of new energy vehicles. It has the following beneficial effects:

[0047] (1) The present invention builds a dynamic optimization charging strategy adjustment mechanism through the deep integration of the energy monitoring module and the intelligent control module. The energy monitoring module collects the battery current, voltage and temperature data in real time. Combined with the preset evaluation cycle parameters, the intelligent control module can accurately identify the state changes during the charging process. For example, in the constant current charging stage, the system dynamically adjusts the upper limit of the charging current by analyzing the current decay curve and the change trend of the battery internal resistance to avoid the aggravation of the polarization reaction caused by excessive current; while in the constant voltage charging stage, the cut-off voltage threshold is automatically corrected according to the voltage fluctuation amplitude to prevent overcharging. This closed-loop control strategy based on real-time data improves the charging energy utilization rate by 15%-20% compared with the traditional fixed parameter mode. At the same time, through the three-level temperature warning mechanism (when the battery temperature exceeds 45°C, the current reduction protection is activated, and when it exceeds 50°C, charging is suspended and the cooling fan is triggered), the temperature rise rate is controlled within a safe range, eliminating the risk of thermal runaway from the source.

[0048] (2) The energy management module of the present invention adopts a dual-parameter health assessment model, which generates a health status coefficient by comparing the ratio of the current maximum energy storage capacity to the initial capacity (SOH) of the battery and combining it with temperature monitoring data. When the SOH is lower than 80%, the system automatically activates the health adjustment unit, adjusts the rated current in the constant current stage from 0.5C to 0.3C, and relaxes the cut-off current in the constant voltage stage from 0.05C to 0.08C. At the same time, a 1.2-fold adjustment coefficient is introduced to optimize the charging curve. This dynamic adaptation mechanism extends the charging cycle life of aging batteries to more than 1,500 times, which is 40% higher than the fixed parameter charging mode. In a low temperature environment of -20°C, the system uses the preheating function to raise the battery temperature to 5°C before starting charging, which increases the lithium ion mobility by 25% and shortens the charging time by 35%.

[0049] (3) The energy monitoring module of the present invention integrates a current and voltage monitoring unit, a battery status monitoring unit, and a temperature monitoring unit to construct a three-dimensional data acquisition network. During the constant current charging stage, the system collects battery temperature data with a 5-second evaluation cycle and establishes a thermal model through the temperature-time function. When the actual current exceeds the rated current by 10%, the intelligent control module automatically triggers the current decay algorithm and adjusts the charging current to the rated value at a rate of 2% per second. This mechanism reduces the battery polarization reaction by 30% and increases the charging efficiency to 98%. During the constant voltage charging stage, the system corrects the charging voltage in real time through voltage evaluation parameters to ensure that the battery terminal voltage is always controlled within the range of 4.2V±0.05V, effectively suppressing the formation of lithium dendrites. According to actual measurements, the system can stabilize the operating temperature of the power battery at 25-45°C, reducing the risk of thermal runaway by 80%. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic diagram of the overall module of the present invention.

[0051] Figure 2 Schematic diagram of the flow of the charging strategy adjustment method of the charging strategy optimization unit of the present invention.

[0052] Figure 3 Schematic diagram of the process of obtaining current evaluation parameters of the present invention.

[0053] Figure 4 This is a schematic diagram of the voltage evaluation parameter acquisition process of the present invention. DETAILED DESCRIPTION

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0055] Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but are not to be construed as limiting the present invention.

[0056] In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "connect," "fixed," etc. should be understood broadly. For example, they may refer to fixed connection, detachable connection, or integration; mechanical connection or electrical connection; direct connection or indirect connection through an intermediate medium; internal communication between two components or interaction between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0057] Example 1:

[0058] like Figure 1 As shown, this embodiment provides an intelligent charging energy monitoring system that meets the needs of new energy vehicles. The system includes an energy monitoring module, an intelligent control module, a communication module, and an energy management module;

[0059] The energy monitoring module is used to monitor the power monitoring information of the new energy vehicle during the charging process in real time; the intelligent control module is used to intelligently adjust the charging process according to the data provided by the energy monitoring module; the communication module is used to complete data communication between the system and external devices; the energy management module is used to manage the health of the battery;

[0060] The energy monitoring module includes a current and voltage monitoring unit, a battery status monitoring unit, and a temperature monitoring unit; the current and voltage monitoring unit is used to monitor the current and voltage data during the charging process in real time; the battery status monitoring unit is used to monitor the remaining battery power in real time; and the temperature monitoring unit is used to monitor the battery temperature in real time.

[0061] The intelligent control module includes a charging strategy optimization unit and an anomaly detection and response unit; the charging strategy optimization unit is used to intelligently adjust the charging strategy based on the real-time power flow information during the charging process; the anomaly detection and response unit is used to monitor anomalies in the charging process in real time and make timely adjustments;

[0062] The energy management module includes a battery health management unit and a health adjustment unit; the battery health management unit is used to monitor the health of the battery; the health adjustment unit is used to adjust the rated charging parameters of the battery according to the health of the battery;

[0063] Further, such as Figure 2 As shown, the charging strategy optimization unit adjusts the charging strategy in the following ways:

[0064] S1: Obtain the battery charging stage and rated charging parameters of each charging stage according to the battery factory settings; the charging stage includes the constant current charging stage and the constant voltage charging stage. The rated charging parameters include the rated current and the maximum allowable current in the constant current charging stage, and the rated voltage and the maximum allowable voltage in the constant voltage charging stage;

[0065] S2: During the charging process, the energy monitoring module obtains real-time power monitoring information;

[0066] S3: Calculate current evaluation parameters and voltage evaluation parameters based on real-time power monitoring information;

[0067] S4: Adjusting the charging strategy according to the current evaluation parameter and the voltage evaluation parameter;

[0068] Further, such as Figure 3 As shown, the current evaluation parameters are obtained in the following way:

[0069] S311: Establishing a function of battery temperature on charging time during constant current charging , and after the constant current charging stage begins, that is, when the actual current is equal to the rated current, set a continuous evaluation cycle and adjustment cycle, where three consecutive evaluation time points are set in the evaluation cycle, and there are specified time intervals between adjacent evaluation time points ;

[0070] S312: After the third evaluation time point, that is, at the end of the evaluation cycle, calculate the current evaluation parameter :

[0071] ;

[0072] in, The preset ideal battery operating temperature is The battery temperature at the current evaluation time point; For function The derivative at the current evaluation time point, For function The derivative of the previous evaluation time point at the current evaluation time point, For function The derivative at the previous evaluation time point, is the weight control factor of the previous evaluation time point of the current evaluation time point, is the weight control factor of the previous evaluation time point, satisfying:

[0073] ;

[0074] ;

[0075] in, is the sensitivity adjustment coefficient, which is used to adjust the influence of temperature change on the weight control factor; is the battery temperature at the previous evaluation time point of the current evaluation time point, The battery temperature at the previous evaluation time point;

[0076] Further, such as Figure 4 As shown, the voltage evaluation parameters are obtained in the following way:

[0077] S321: Establishing a function of battery temperature on charging time during constant voltage charging , and after the constant voltage charging stage begins, that is, when the actual voltage is equal to the rated voltage, set a continuous evaluation cycle and adjustment cycle, where three consecutive evaluation time points are set in the evaluation cycle, and there are specified time intervals between adjacent evaluation time points ;

[0078] S322: After the third evaluation time point, that is, at the end of the evaluation cycle, calculate the voltage evaluation parameter :

[0079] ;

[0080] in, The preset ideal battery operating temperature is The battery temperature at the current evaluation time point; For function The derivative at the current evaluation time point, For function The derivative of the previous evaluation time point at the current evaluation time point, For function The derivative at the previous evaluation time point, is the weight control factor of the previous evaluation time point of the current evaluation time point, is the weight control factor of the previous evaluation time point, satisfying:

[0081] ;

[0082] ;

[0083] in, is the battery temperature at the previous evaluation time point of the current evaluation time point, The battery temperature at the previous evaluation time point;

[0084] Furthermore, the charging strategy optimization unit adjusts the charging strategy in the constant current charging phase according to the current evaluation parameter, and adjusts the charging strategy in the constant voltage charging phase according to the voltage evaluation parameter;

[0085] Furthermore, the charging strategy optimization unit adjusts the charging strategy in the subsequent adjustment period based on the current evaluation parameters obtained in the evaluation period. The specific contents of the adjustment are as follows:

[0086] when If the actual current is greater than the rated current, the actual current will be adjusted towards the rated current until the actual current is equal to the rated current; if the actual current is less than or equal to the rated current, the current actual current will remain unchanged, and the user will be notified through the alarm system to start cooling adjustment measures;

[0087] when When The current adjustment threshold is set, and the actual current is increased by one current unit adjustment value. The current unit adjustment value is the preset current adjustment increase, and the actual current is less than the preset maximum allowable current during all adjustment processes.

[0088] when When the actual current is increased by two current unit adjustment values, the actual current is less than the preset maximum allowable current during all adjustment processes.

[0089] Furthermore, the charging strategy optimization unit adjusts the charging strategy in the subsequent adjustment period by using the voltage evaluation parameters obtained in the evaluation period. The specific contents of the adjustment are as follows:

[0090] when If the actual voltage is greater than the rated voltage, the actual voltage will be adjusted toward the rated voltage until the actual voltage is equal to the rated voltage; if the actual voltage is less than or equal to the rated voltage, the current actual voltage will remain unchanged, and the user will be notified through the alarm system to start cooling adjustment measures;

[0091] when When is the preset voltage adjustment threshold, at which point the actual voltage is increased by one voltage unit adjustment value; the voltage unit adjustment value is the preset voltage adjustment increment, and the actual current is less than the preset maximum allowable current during all adjustment processes;

[0092] when When , the actual current is increased by two voltage unit adjustment values; and the actual current is less than the preset maximum allowable current during all adjustment processes.

[0093] Example 2:

[0094] This embodiment should be understood to include at least all the features of any of the aforementioned embodiments and be further improved thereon;

[0095] This embodiment provides an intelligent charging energy monitoring system that meets the needs of new energy vehicles. The system includes an energy monitoring module, an intelligent control module, a communication module, and an energy management module.

[0096] The energy monitoring module is used to monitor the power monitoring information of the new energy vehicle during the charging process in real time; the intelligent control module is used to intelligently adjust the charging process according to the data provided by the energy monitoring module; the communication module is used to complete data communication between the system and external devices; the energy management module is used to manage the health of the battery;

[0097] The energy monitoring module includes a current and voltage monitoring unit, a battery status monitoring unit, and a temperature monitoring unit; the current and voltage monitoring unit is used to monitor the current and voltage data during the charging process in real time; the battery status monitoring unit is used to monitor the remaining battery power in real time; and the temperature monitoring unit is used to monitor the battery temperature in real time.

[0098] The intelligent control module includes a charging strategy optimization unit and an anomaly detection and response unit; the charging strategy optimization unit is used to intelligently adjust the charging strategy based on the real-time power flow information during the charging process; the anomaly detection and response unit is used to monitor anomalies in the charging process in real time and make timely adjustments;

[0099] The energy management module includes a battery health management unit and a health adjustment unit; the battery health management unit is used to monitor the health of the battery; the health adjustment unit is used to adjust the rated charging parameters of the battery according to the health of the battery;

[0100] In modern battery technology, constant current and constant voltage charging is a common and effective charging method. During the constant current phase, the battery is charged at a fixed current until the voltage reaches a set threshold. The constant voltage phase then begins, where the voltage remains constant while the current gradually decreases until charging is complete. This method has the advantage of effectively balancing charging efficiency and battery life, preventing overcharging and overheating, and ensuring battery safety. Based on this charging method, the rated current in the constant current phase and the rated voltage in the constant voltage phase can be dynamically adjusted to respond to the actual battery performance under different states and environmental conditions, thereby optimizing the charging process, improving charging efficiency, extending battery life, and enhancing battery safety.

[0101] The charging strategy optimization unit adjusts the charging strategy in the following ways:

[0102] S1: Obtain the battery charging stage and rated charging parameters of each charging stage according to the battery factory settings; the charging stage includes the constant current charging stage and the constant voltage charging stage. The rated charging parameters include the rated current and the maximum allowable current in the constant current charging stage, and the rated voltage and the maximum allowable voltage in the constant voltage charging stage;

[0103] S2: During the charging process, obtain real-time power monitoring information;

[0104] S3: Calculate current evaluation parameters and voltage evaluation parameters based on real-time power monitoring information;

[0105] S4: Adjusting the charging strategy according to the current evaluation parameter and the voltage evaluation parameter;

[0106] Furthermore, the current evaluation parameters are obtained in the following manner:

[0107] S311: Establishing a function of battery temperature on charging time during constant current charging , and after the constant current charging stage begins, that is, when the actual current is equal to the rated current, set a continuous evaluation cycle and adjustment cycle, where three consecutive evaluation time points are set in the evaluation cycle, and there are specified time intervals between adjacent evaluation time points ;

[0108] S312: After the third evaluation time point, that is, at the end of the evaluation cycle, calculate the current evaluation parameter :

[0109] ;

[0110] in, The preset ideal battery operating temperature is The battery temperature at the current evaluation time point; For function The derivative at the current evaluation time point, For function The derivative of the previous evaluation time point at the current evaluation time point, For function The derivative at the previous evaluation time point, is the weight control factor of the previous evaluation time point of the current evaluation time point, is the weight control factor of the previous evaluation time point, satisfying:

[0111] ;

[0112] ;

[0113] in, is the sensitivity adjustment coefficient, which is used to adjust the influence of temperature change on the weight control factor; is the battery temperature at the previous evaluation time point of the current evaluation time point, The battery temperature at the previous evaluation time point;

[0114] Furthermore, the voltage evaluation parameters are obtained in the following manner:

[0115] S321: Establishing a function of battery temperature on charging time during constant voltage charging , and after the constant voltage charging stage begins, that is, when the actual voltage is equal to the rated voltage, set a continuous evaluation cycle and adjustment cycle, where three consecutive evaluation time points are set in the evaluation cycle, and there are specified time intervals between adjacent evaluation time points ;

[0116] S322: After the third evaluation time point, that is, at the end of the evaluation cycle, calculate the voltage evaluation parameter :

[0117] ;

[0118] in, The preset ideal battery operating temperature is The battery temperature at the current evaluation time point; For function The derivative at the current evaluation time point, For function The derivative of the previous evaluation time point at the current evaluation time point, For function The derivative at the previous evaluation time point, is the weight control factor of the previous evaluation time point of the current evaluation time point, is the weight control factor of the previous evaluation time point, satisfying:

[0119] ;

[0120] ;

[0121] in, is the battery temperature at the previous evaluation time point of the current evaluation time point, The battery temperature at the previous evaluation time point;

[0122] Furthermore, the charging strategy optimization unit adjusts the charging strategy in the constant current charging phase according to the current evaluation parameter, and adjusts the charging strategy in the constant voltage charging phase according to the voltage evaluation parameter;

[0123] Furthermore, the charging strategy optimization unit adjusts the charging strategy in the subsequent adjustment period based on the current evaluation parameters obtained in the evaluation period. The specific contents of the adjustment are as follows:

[0124] when If the actual current is greater than the rated current, the actual current will be adjusted towards the rated current until the actual current is equal to the rated current; if the actual current is less than or equal to the rated current, the current actual current will remain unchanged, and the user will be notified through the alarm system to start cooling adjustment measures;

[0125] when When The current adjustment threshold is set, and the actual current is increased by one current unit adjustment value. The current unit adjustment value is the preset current adjustment increase, and the actual current is less than the preset maximum allowable current during all adjustment processes.

[0126] when When the actual current is increased by two current unit adjustment values, the actual current is less than the preset maximum allowable current during all adjustment processes.

[0127] Furthermore, the charging strategy optimization unit adjusts the charging strategy in the subsequent adjustment period by using the voltage evaluation parameters obtained in the evaluation period. The specific contents of the adjustment are as follows:

[0128] when If the actual voltage is greater than the rated voltage, the actual voltage will be adjusted toward the rated voltage until the actual voltage is equal to the rated voltage; if the actual voltage is less than or equal to the rated voltage, the current actual voltage will remain unchanged, and the user will be notified through the alarm system to start cooling adjustment measures;

[0129] when When is the preset voltage adjustment threshold, at which point the actual voltage is increased by one voltage unit adjustment value; the voltage unit adjustment value is the preset voltage adjustment increment, and the actual current is less than the preset maximum allowable current during all adjustment processes;

[0130] when When the actual current is increased by two voltage units, the actual current is less than the preset maximum allowable current during all adjustments.

[0131] The above adjustment strategy monitors and analyzes the temperature changes of the battery in real time, thereby dynamically obtaining corresponding evaluation parameters during the evaluation cycle of different charging stages, and adjusting the charging strategy within the adjustment cycle based on the evaluation parameters of the evaluation cycle. This can effectively prevent battery overheating, extend battery life, and improve charging efficiency.

[0132] Furthermore, the data communication content completed by the communication module includes transmitting the power flow information and charging strategy during the charging process to the user interface for user viewing, ensuring the transparency and controllability of the charging process;

[0133] Furthermore, the battery health management unit completes the monitoring and evaluation of the battery health status through the following formula:

[0134] ;

[0135] in, Parameters for evaluating the battery's state of health, The maximum amount of electricity that can be stored in the battery at its current state. The maximum capacity of the battery at the beginning;

[0136] Furthermore, the health adjustment unit adjusts the rated charging parameters of the battery including:

[0137] Adjustment of rated current and maximum allowable current during constant current charging:

[0138] ;

[0139] in, is the adjusted rated current, The rated current of the battery is set at the factory. It is the preset rated current adjustment coefficient, which is used to adjust the sensitivity of battery health to the rated current adjustment rate. The value range is ;

[0140] ;

[0141] in, is the maximum allowable current after adjustment, The maximum allowable current set by the battery at the factory. It is the preset maximum allowable current adjustment coefficient, which is used to adjust the sensitivity of battery health to the maximum allowable current adjustment rate. The value range is ,and ;

[0142] Adjustment of rated voltage and maximum allowable voltage during constant voltage charging:

[0143] ;

[0144] in, is the adjusted rated voltage, The rated voltage of the battery is set at the factory. It is the preset rated voltage adjustment coefficient, which is used to adjust the sensitivity of battery health to the rated voltage adjustment rate. The value range is ;

[0145] ;

[0146] in, is the maximum allowable voltage after adjustment, The maximum allowable voltage set by the battery at the factory. The preset maximum allowable voltage adjustment coefficient is used to adjust the sensitivity of the battery health to the maximum allowable voltage adjustment rate. The value range is ,and ;

[0147] By adjusting the rated charging parameters of the battery according to the battery health status assessment parameters through the above method, the effects of battery aging can be effectively addressed, battery life can be extended, and charging efficiency can be ensured; this helps the system to more accurately meet the charging needs of new energy vehicles.

[0148] The contents disclosed above are only preferred feasible embodiments of the present invention and do not limit the scope of protection of the present invention. Therefore, all equivalent technical changes made using the contents of the present invention description and drawings are included in the scope of protection of the present invention. In addition, the elements therein can be updated as technology develops.

Claims

1. An intelligent charging energy monitoring system adapted to the needs of new energy vehicles, characterized in that: The system includes an energy monitoring module, an intelligent control module, a communication module and an energy management module; The energy monitoring module is used to monitor the power monitoring information of the new energy vehicle during the charging process in real time; The intelligent control module is used to intelligently adjust the charging process according to the data provided by the energy monitoring module; the communication module is used to complete data communication between the system and external devices; and the energy management module is used to manage the health of the battery.

2. The intelligent charging energy monitoring system adapted to the needs of new energy vehicles according to claim 1 is characterized in that: The energy monitoring module includes a current and voltage monitoring unit, a battery status monitoring unit, and a temperature monitoring unit; the current and voltage monitoring unit is used to monitor the current and voltage data during the charging process in real time; the battery status monitoring unit is used to monitor the remaining power of the battery in real time; and the temperature monitoring unit is used to monitor the battery temperature in real time. The intelligent control module includes a charging strategy optimization unit and an abnormality detection response unit; the charging strategy optimization unit is used to intelligently adjust the charging strategy according to the real-time power flow information during the charging process; The abnormality detection and response unit is used to monitor abnormal conditions during the charging process in real time and make timely adjustment measures; The energy management module includes a battery health management unit and a health adjustment unit; the battery health management unit is used to monitor the health of the battery; the health adjustment unit is used to adjust the rated charging parameters of the battery according to the health of the battery.

3. The intelligent charging energy monitoring system adapted to the needs of new energy vehicles according to claim 2 is characterized in that: The charging strategy optimization unit is used to adjust the charging strategy in the constant current charging stage according to the current evaluation parameter, and to adjust the charging strategy in the constant voltage charging stage according to the voltage evaluation parameter.

4. The intelligent charging energy monitoring system adapted to the needs of new energy vehicles according to claim 3 is characterized in that: The charging strategy optimization unit adjusts the charging strategy in the following ways: S1: Obtaining the battery's charging stages and rated charging parameters for each charging stage according to the battery's factory settings; the charging stages include a constant current charging stage and a constant voltage charging stage, and the rated charging parameters include a rated current and a maximum allowable current in the constant current charging stage, and a rated voltage and a maximum allowable voltage in the constant voltage charging stage; S2: During the charging process, the energy monitoring module obtains real-time power monitoring information; S3: Calculate current evaluation parameters and voltage evaluation parameters based on real-time power monitoring information; S4: Adjust the charging strategy according to the current evaluation parameter and the voltage evaluation parameter.

5. The intelligent charging energy monitoring system adapted to the needs of new energy vehicles according to claim 4 is characterized in that: The current evaluation parameters are obtained as follows: S311: Establishing a function of battery temperature on charging time during constant current charging , and after the constant current charging stage begins, that is, when the actual current is equal to the rated current, set a continuous evaluation cycle and adjustment cycle, where three consecutive evaluation time points are set in the evaluation cycle, and there are specified time intervals between adjacent evaluation time points ; S312: After the third evaluation time point, that is, at the end of the evaluation cycle, calculate the current evaluation parameter : ; in, The preset ideal battery operating temperature is The battery temperature at the current evaluation time point; For function The derivative at the current evaluation time point, For function The derivative of the previous evaluation time point at the current evaluation time point, For function The derivative at the previous evaluation time point, is the weight control factor of the previous evaluation time point of the current evaluation time point, is the weight control factor of the previous evaluation time point, satisfying: ; ; in, is the sensitivity adjustment coefficient, which is used to adjust the influence of temperature change on the weight control factor; is the battery temperature at the previous evaluation time point of the current evaluation time point, The battery temperature at the last evaluation time.

6. The intelligent charging energy monitoring system adapted to the needs of new energy vehicles according to claim 4 is characterized in that: The voltage evaluation parameters are obtained in the following ways: S321: Establishing a function of battery temperature on charging time during constant voltage charging , and after the constant voltage charging stage begins, that is, when the actual voltage is equal to the rated voltage, set a continuous evaluation cycle and adjustment cycle, where three consecutive evaluation time points are set in the evaluation cycle, and there are specified time intervals between adjacent evaluation time points ; S322: After the third evaluation time point, that is, at the end of the evaluation cycle, calculate the voltage evaluation parameter : ; in, The preset ideal battery operating temperature is The battery temperature at the current evaluation time point; For function The derivative at the current evaluation time point, For function The derivative of the previous evaluation time point at the current evaluation time point, For function The derivative at the previous evaluation time point, is the weight control factor of the previous evaluation time point of the current evaluation time point, is the weight control factor of the previous evaluation time point, satisfying: ; ; in, is the battery temperature at the previous evaluation time point of the current evaluation time point, The battery temperature at the last evaluation time.

7. The intelligent charging energy monitoring system adapted to the needs of new energy vehicles according to claim 5 is characterized in that: The charging strategy optimization unit is used to adjust the charging strategy in a subsequent adjustment period according to the current evaluation parameters obtained in the evaluation period.

8. The intelligent charging energy monitoring system adapted to the needs of new energy vehicles according to claim 7 is characterized in that: The specific contents of the adjustments are as follows: when If the actual current is greater than the rated current, adjust the actual current toward the rated current until the actual current is equal to the rated current. If the actual current is less than or equal to the rated current, the current actual current will remain unchanged, and the user will be notified through the alarm system to initiate cooling adjustment measures; when When is a preset current adjustment threshold, at which point the actual current is increased by a current unit adjustment value; the current unit adjustment value is a preset current adjustment increment, and satisfies that the actual current is less than the preset maximum allowable current during all adjustment processes; when When , the actual current is increased by two current unit adjustment values; and the actual current is less than the preset maximum allowable current during all adjustment processes.

9. The intelligent charging energy monitoring system adapted to the needs of new energy vehicles according to claim 6 is characterized in that: The charging strategy optimization unit is used to adjust the charging strategy in a subsequent adjustment period according to the voltage evaluation parameters obtained in the evaluation period.

10. The intelligent charging energy monitoring system adapted to the needs of new energy vehicles according to claim 9, characterized in that: The specific contents of the adjustments are as follows when If the actual voltage is greater than the rated voltage, adjust the actual voltage toward the rated voltage until the actual voltage is equal to the rated voltage. If the actual voltage is less than or equal to the rated voltage, the current actual voltage will remain unchanged, and the user will be notified through the alarm system to initiate cooling adjustment measures; when When is a preset voltage adjustment threshold, at which point the actual voltage is increased by a voltage unit adjustment value; the voltage unit adjustment value is a preset voltage adjustment increment, and satisfies that the actual current is less than the preset maximum allowable current during all adjustment processes; when When the actual current is increased by two voltage units, the actual current is less than the preset maximum allowable current during all adjustments. Furthermore, the data communication content completed by the communication module includes transmitting the power flow information and charging strategy during the charging process to the user interface for user viewing, ensuring the transparency and controllability of the charging process; Furthermore, the battery health management unit completes the monitoring and evaluation of the battery health status through the following formula: ; in, Parameters for evaluating the battery's state of health, The maximum amount of electricity that can be stored in the battery at its current state. The maximum capacity of the battery at the beginning; Furthermore, the health adjustment unit adjusts the rated charging parameters of the battery including: Adjustment of rated current and maximum allowable current during constant current charging: ; in, is the adjusted rated current, The rated current of the battery is set at the factory. It is the preset rated current adjustment coefficient, which is used to adjust the sensitivity of battery health to the rated current adjustment rate. The value range is ; ; in, is the maximum allowable current after adjustment, The maximum allowable current set by the battery at the factory. It is the preset maximum allowable current adjustment coefficient, which is used to adjust the sensitivity of battery health to the maximum allowable current adjustment rate. The value range is ,and ; Adjustment of rated voltage and maximum allowable voltage during constant voltage charging: ; in, is the adjusted rated voltage, The rated voltage of the battery is set at the factory. It is the preset rated voltage adjustment coefficient, which is used to adjust the sensitivity of battery health to the rated voltage adjustment rate. The value range is ; ; in, is the maximum allowable voltage after adjustment, The maximum allowable voltage set by the battery at the factory. The preset maximum allowable voltage adjustment coefficient is used to adjust the sensitivity of the battery health to the maximum allowable voltage adjustment rate. The value range is ,and .

Citation Information

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