Electronic cigarette temperature control algorithm with preheating function

Abstract

The invention discloses an electronic cigarette temperature control algorithm with a preheating function, particularly relates to the technical field of electronic cigarette temperature control, and is used for solving the problem of out-of-control temperature caused by waste heat accumulation due to continuous smoking in the prior art. Precise temperature control is realized through multi-dimensional parameter collaborative analysis and a dynamic correction mechanism; according to the algorithm, a waste heat accumulation superimposed effect is evaluated based on time interval distribution characteristics of historical suction actions of a user and current suction interval time, dynamic interference intensity is quantified in combination with airflow rate deviation, and a waste heat attenuation stability level is judged by detecting a temperature drop rate deviation direction. According to the contact area proportion of the heating element and the tobacco tar, waste heat conduction efficiency grades are divided; the target temperature compensation value is calculated through the preset temperature compensation mapping table, the preheating target temperature is dynamically adjusted, the constant temperature control program is started, the preset atomization temperature interval is maintained through a real-time temperature feedback closed loop, temperature overshoot caused by waste heat accumulation is effectively restrained, and atomization taste consistency and equipment safety are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic cigarette temperature control, and more specifically, to an electronic cigarette temperature control algorithm with a preheating function. Background Art

[0002] Current electronic cigarette devices generally use temperature control technology to improve atomization stability and user experience. The preheating function preheats the atomization element to a set temperature, aiming to shorten the atomization delay when the user inhales and reduce the generation of condensate. Existing technologies usually adjust the heating power based on real-time temperature feedback, combined with preset constant temperature control logic to maintain the target temperature range to meet the atomization requirements of different e-liquid components. In a single puff scenario, it can effectively avoid large temperature fluctuations and improve atomization uniformity to a certain extent.

[0003] However, the existing temperature control technology still has significant defects in practical applications: when the user takes multiple puffs in a short period of time, the residual heat generated in the preheating stage will continue to accumulate in the atomization chamber, causing the actual temperature to exceed the preset safety threshold during subsequent puffs. This will not only cause the atomization temperature to get out of control and affect the taste consistency, but may also cause abnormal decomposition of the e-liquid components due to local high temperatures, posing a potential safety hazard. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an electronic cigarette temperature control algorithm with a preheating function to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: The temperature control algorithm of the electronic cigarette with preheating function includes the following steps: S1. Obtain the time interval distribution characteristics of the user's historical puffing actions and the current puffing interval to evaluate the superposition effect of residual heat accumulation in the atomization chamber; S2, monitoring the airflow rate deviation of the current suction action, and evaluating the dynamic interference intensity of the airflow on the residual heat residue in combination with the superposition effect; S3. Detect the deviation direction of the temperature drop rate of the atomization chamber, and determine the stability level of the residual heat decay trend in combination with the dynamic interference intensity; S4. Determine the contact area ratio between the heating element and the e-liquid, and classify the residual heat conduction efficiency level based on the stability level; S5. Query a preset temperature compensation mapping table based on the waste heat conduction efficiency level to calculate a target temperature compensation value; S6. When the user takes a puff next time, the preheating target temperature is adjusted based on the target temperature compensation value, the constant temperature control program is started, and the preset atomization temperature range is maintained through real-time temperature feedback.

[0006] In a preferred embodiment, obtaining the time interval distribution characteristics of the user's historical puffing actions and the current puffing interval time to evaluate the superposition effect of the residual heat accumulation in the atomization chamber includes: Obtain a timestamp sequence of historical puffing actions of the user, extract the time intervals between adjacent puffing actions in the timestamp sequence and generate a time interval sequence; Extract the time interval distribution characteristics based on the fluctuation amplitude and change direction of the time interval series, where the change direction is the monotonicity of the time interval increasing or decreasing over time; Detecting the current puff interval between the current puff action and the last puff action, and determining the matching degree between the current puff interval and the most recent several time intervals in the time interval distribution feature; When the matching degree exceeds a preset threshold, the superposition effect weight coefficient is adjusted according to the density distribution pattern of the time interval in the time interval distribution feature; Based on the product relationship between the superposition effect weight coefficient and the current puff interval time, the superposition effect of the accumulated residual heat in the atomization chamber is output.

[0007] In a preferred embodiment, the deviation of the airflow rate of the current suction action is monitored, and the dynamic interference intensity of the airflow on the residual heat residue is evaluated in combination with the superposition effect, including: Obtaining the airflow rate of the current puffing action, and calculating the airflow rate deviation value based on a preset reference airflow rate; According to the preset deviation interval of the airflow rate deviation value, query the corresponding dynamic interference factor in the preset interference factor table; Multiply the superposition effect weight coefficient by the dynamic interference factor to obtain the corrected dynamic interference factor; According to the product relationship between the corrected dynamic interference factor and the current suction interval time, the dynamic interference intensity of the airflow on the residual heat residue is calculated; The dynamic interference intensity is compared with a preset interference intensity threshold, and if it exceeds the interference intensity threshold, a dynamic interference intensity correction instruction is triggered.

[0008] In a preferred embodiment, the deviation direction of the temperature drop rate of the atomization chamber is detected, and the stability level of the residual heat decay trend is determined in combination with the dynamic interference intensity, including: Monitor the temperature data of the atomization chamber in real time, and calculate the temperature change between two adjacent sampling periods to determine the temperature drop rate; The deviation direction is determined according to the positive and negative signs of the temperature drop rate; Based on the deviation direction and the preset interference intensity interval of the dynamic interference intensity, query the preset stability level determination table; According to the corresponding stability level rules in the stability level determination table, the stability level of the residual heat decay trend is output; When the stability level is unstable, the residual heat decay correction instruction is triggered to adjust the preheating power output ratio.

[0009] In a preferred embodiment, a positive sign indicates that the temperature drop rate is higher than the reference rate, and a negative sign indicates that the temperature drop rate is lower than the reference rate.

[0010] In a preferred embodiment, the contact area ratio between the heating element and the e-liquid is determined, and the residual heat conduction efficiency level is divided in combination with the stability level, including: Detecting a current resistance value of the heating element, calculating a deviation between the current resistance value and an initial resistance value, and determining a contact area ratio based on a deviation and a preset resistance-contact area mapping relationship; According to the level interval of the stability level, dynamically adjust the deviation judgment threshold in the resistance-contact area mapping relationship; When the deviation exceeds the adjusted deviation determination threshold, based on the combined relationship between the proportion interval of the contact area proportion and the stability level, a preset conduction efficiency correction rule table is queried; Generate the waste heat conduction efficiency level according to the product relationship between the corresponding correction coefficient and the dynamic interference intensity in the conduction efficiency correction rule table; The waste heat conduction efficiency level is input into a preset level-efficiency mapping table, and the waste heat conduction efficiency correction coefficient is output.

[0011] In a preferred embodiment, the preset temperature compensation mapping table is queried based on the waste heat conduction efficiency level to calculate the target temperature compensation value, including: Obtaining a residual heat conduction efficiency correction coefficient, and querying a corresponding basic temperature compensation value in a preset temperature compensation mapping table based on the residual heat conduction efficiency correction coefficient; According to the level interval of the stability level, the query interval range of the temperature compensation mapping table is adjusted; Combined with the product relationship between the dynamic interference intensity and the basic temperature compensation value, the preliminary corrected temperature compensation value is calculated; Generate a target temperature compensation value based on a weighted summation relationship between a residual heat conduction efficiency correction coefficient and a preliminary correction temperature compensation value; The final target temperature compensation value output range is determined based on the comparison result between the target temperature compensation value and the preset compensation threshold.

[0012] In a preferred embodiment, the preheating target temperature is adjusted based on the target temperature compensation value when the user takes the next puff, the constant temperature control program is started, and the preset atomization temperature range is maintained through real-time temperature feedback, including: Adjusting the initial setting value of the preheating target temperature according to the target temperature compensation value to generate a compensated target preheating temperature; Based on the difference between the compensated target preheating temperature and the preset atomization temperature range, a dynamic staged control rule for preheating power output is divided; According to the dynamic stage control rule, a first power value is output at the beginning of the preheating stage, and a second power value is output during the duration of the preheating stage; After starting the constant temperature control program, the current temperature data of the atomization chamber is monitored in real time, and the real-time deviation between the current temperature and the compensated target preheating temperature is calculated; Dynamically adjust the power output ratio of the constant temperature control program according to the product relationship between the real-time deviation and the dynamic interference intensity; When the real-time temperature data is continuously within the preset atomization temperature range, the power output ratio is locked until the current puffing action is completed.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. Through multi-dimensional parameter collaborative analysis and dynamic correction mechanism, precise temperature control of electronic cigarette equipment in continuous puffing scenarios is achieved; based on the time distribution characteristics of the user's historical puffing behavior and the current puffing interval, combined with multiple parameter coupling analysis such as airflow rate deviation, temperature drop rate direction and heating element contact area ratio, the superposition effect and dissipation trend of residual heat accumulation in the atomization chamber can be accurately predicted; by establishing hierarchical evaluation models such as dynamic interference intensity, stability level, and residual heat conduction efficiency level, environmental interference, device status and user behavior habits are organically integrated to form an adaptive compensation logic; it can effectively suppress the temperature overshoot problem caused by residual heat retention, ensure that the atomization temperature is always within the safety threshold, avoid abnormal decomposition of e-liquid components, and improve the consistency of atomization taste.

[0014] 2. By real-time monitoring of parameters such as airflow rate deviation and temperature drop rate deviation direction, combined with historical behavior patterns and current device status, the preheating target temperature and power output strategy are dynamically adjusted. This not only solves the problem of waste heat accumulation and loss of control caused by single parameter control in traditional technologies, but can also adapt to the usage habits and environmental changes of different users; through the joint determination of stability level and conduction efficiency level, the correction accuracy of the waste heat dissipation path is further optimized, ensuring that the equipment can still maintain constant temperature atomization performance under complex working conditions, significantly improving the reliability and safety of e-cigarette products. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a flow chart of the temperature control algorithm of the electronic cigarette with preheating function of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0017] Example: Figure 1 The electronic cigarette temperature control algorithm with preheating function of the present invention is provided, which includes the following steps: S1. Obtain the time interval distribution characteristics of the user's historical puffing actions and the current puffing interval to evaluate the superposition effect of residual heat accumulation in the atomization chamber; S2, monitoring the airflow rate deviation of the current suction action, and evaluating the dynamic interference intensity of the airflow on the residual heat residue in combination with the superposition effect; S3. Detect the deviation direction of the temperature drop rate of the atomization chamber, and determine the stability level of the residual heat decay trend in combination with the dynamic interference intensity; S4. Determine the contact area ratio between the heating element and the e-liquid, and classify the residual heat conduction efficiency level based on the stability level; S5. Query a preset temperature compensation mapping table based on the waste heat conduction efficiency level to calculate a target temperature compensation value; S6. When the user takes a puff next time, the preheating target temperature is adjusted based on the target temperature compensation value, the constant temperature control program is started, and the preset atomization temperature range is maintained through real-time temperature feedback.

[0018] S1. Obtain the time interval distribution characteristics of the user's historical puffing actions and the current puffing interval to evaluate the superposition effect of the residual heat accumulation in the atomization chamber, including: Obtain a timestamp sequence of historical puffing actions of the user, extract the time intervals between adjacent puffing actions in the timestamp sequence and generate a time interval sequence; Extract the time interval distribution characteristics based on the fluctuation amplitude and change direction of the time interval series, where the change direction is the monotonicity of the time interval increasing or decreasing over time; Detecting the current puff interval between the current puff action and the last puff action, and determining the matching degree between the current puff interval and the most recent several time intervals in the time interval distribution feature; When the matching degree exceeds a preset threshold, the superposition effect weight coefficient is adjusted according to the density distribution pattern of the time interval in the time interval distribution feature; Based on the product relationship between the superposition effect weight coefficient and the current puff interval time, the superposition effect of the accumulated residual heat in the atomization chamber is output.

[0019] A timestamp sequence of a user's historical puffing actions is obtained, specifically including recording the start time point or end time point of each puffing action of the user, and storing the time points in chronological order as a timestamp sequence; the timestamp sequence is realized by the built-in timing function of the microcontroller (MCU) of the electronic cigarette device, and each time the user's puffing action is detected, the timer is triggered to record the current time point; the time interval between adjacent puffing actions is obtained by calculating the difference between two adjacent time points in the timestamp sequence, for example, if the timestamp sequence is t1, t2, t3, then the adjacent time intervals are Δt1=t2−t1, Δt2=t3−t2, and so on to generate a time interval sequence; the storage method of the time interval sequence is a circular queue structure, and only the time interval data of the most recent N puffing actions is retained, where N is a preset positive integer, such as N=20, to ensure that the storage space occupancy is controllable and can reflect the user's recent puffing behavior characteristics.

[0020] The time interval distribution characteristics are extracted based on the fluctuation amplitude and change direction of the time interval sequence, where the fluctuation amplitude is obtained by calculating the variance or standard deviation of the time interval sequence, which is used to quantify the interval fluctuation degree of the user's puffing behavior; for example, the larger the variance, the greater the difference in the user's puffing interval time, and the higher the corresponding residual heat accumulation risk; the change direction is the monotonicity of the time interval increasing or decreasing over time, which is specifically determined by comparing the size relationship of adjacent time intervals in the time interval sequence; if at least three consecutive time intervals in the time interval sequence satisfy Δt k <Δt k+1 <Δt k+2 , it is judged to be an increasing trend; if Δt k >Δt k+1 >Δt k+2 , it is judged as a decreasing trend; if the above conditions are not met, it is judged as no significant change direction; the change direction is used to predict the potential trend of the user's puffing behavior. For example, an increasing trend indicates that the user's puffing frequency is gradually decreasing, and the risk of residual heat accumulation may be reduced.

[0021] Detect the current puff interval between the current puff action and the last puff action, specifically by calculating the difference between the trigger time point of the current puff action and the trigger time point of the last puff action; determine the matching degree between the current puff interval and the most recent time intervals in the time interval distribution characteristics, where the number of the most recent time intervals is a preset value, such as the most recent 5 time intervals; calculate the matching degree by comparing the current puff interval with the most recent time intervals one by one, and counting the similarity between the current puff interval and each historical time interval; for example, if the current puff interval is T, and the historical time intervals are Δt1, Δt2, Δt3, Δt4, and Δt5, then the matching degree is calculated as the ratio of the number of similar times to the total number of times, where the number of similar times satisfies |T−Δtᵢ|≤ΔT th The amount of Δtᵢ, ΔTth is the preset allowable error threshold, such as ΔT th = 2 seconds; the matching degree is used to determine whether the current puffing behavior conforms to the historical behavior pattern.

[0022] Among them, k is the position index in the time interval sequence, which is used to refer to the kth time interval in the sequence, where k is a natural number; i is a temporary index variable when looping through the time interval sequence, which is used to access the elements in the sequence one by one.

[0023] When the matching degree exceeds the preset threshold, for example, the matching degree is ≥60%, the superposition effect weight coefficient is adjusted according to the density distribution pattern of the time interval in the time interval distribution characteristics; the density distribution pattern is divided into concentrated and dispersed types: the concentrated type means that the time interval is densely distributed in a certain interval (for example, 80% of the time intervals are concentrated in 5-10 seconds), and the dispersed type means that the time interval distribution range is wide and there is no obvious concentrated interval; the density distribution pattern is determined by counting the proportion of values ​​in the time interval sequence that fall into the preset sub-interval, for example, the time interval range is divided into three sub-intervals of 5-10 seconds, 10-15 seconds, and 15-20 seconds. If the number of time intervals in a sub-interval accounts for more than 70%, it is determined to be concentrated, otherwise it is dispersed; the adjustment rule of the superposition effect weight coefficient is: if the density distribution pattern is concentrated, the weight coefficient is increased to strengthen the prediction of historical behavior on residual heat accumulation; if it is dispersed, the weight coefficient is reduced to reduce historical noise interference.

[0024] Based on the multiplication relationship between the superposition effect weight coefficient and the current puff interval time, the superposition effect of the residual heat accumulation in the atomization chamber is output; specifically, the superposition effect weight coefficient is multiplied by the current puff interval time to obtain the superposition effect value; for example, if the superposition effect weight coefficient is α (0<α≤1), and the current puff interval time is T, then the superposition effect is α×T; the multiplication relationship reflects the effective residual heat accumulation duration of the current puff interval time under the correction of the historical behavior pattern; the superposition effect value is used to evaluate the dynamic interference intensity in subsequent steps. For example, the larger the superposition effect, the higher the risk of residual heat accumulation, and more significant temperature compensation is required.

[0025] S2. Monitor the airflow rate deviation of the current suction action, and evaluate the dynamic interference intensity of the airflow on the residual heat residue in combination with the superposition effect, including: Obtaining the airflow rate of the current puffing action, and calculating the airflow rate deviation value based on a preset reference airflow rate; According to the preset deviation interval of the airflow rate deviation value, query the corresponding dynamic interference factor in the preset interference factor table; Multiply the superposition effect weight coefficient by the dynamic interference factor to obtain the corrected dynamic interference factor; According to the product relationship between the corrected dynamic interference factor and the current suction interval time, the dynamic interference intensity of the airflow on the residual heat residue is calculated; The dynamic interference intensity is compared with a preset interference intensity threshold, and if it exceeds the interference intensity threshold, a dynamic interference intensity correction instruction is triggered.

[0026] The airflow rate of the current puffing action is obtained by monitoring the gas flow rate of the user during puffing in real time through the built-in micro pressure sensor of the electronic cigarette device, and recording the airflow rate data at a frequency of once per second; the baseline airflow rate is a preset reference value, which is set according to the user's historical puffing habits or the default parameters of the device, for example, the baseline airflow rate is 10 ml / s; the airflow rate deviation value is obtained by subtracting the average airflow rate of the current puffing action from the baseline airflow rate, for example, when the current average airflow rate is 12 ml / s, the deviation value is +2 ml / s; if the current average airflow rate is lower than the baseline airflow rate, the deviation value is negative; the unit of the deviation value is ml / s, which is used to quantify the degree of deviation of the current airflow rate from the baseline state.

[0027] According to the preset deviation interval in which the airflow rate deviation value is located, the corresponding dynamic interference factor in the preset interference factor table is queried; the preset deviation interval is to divide the airflow rate deviation value into multiple continuous ranges, for example, divided into three intervals of -5 to 0 ml / s, 0 to +5 ml / s, and +5 to +10 ml / s; each deviation interval corresponds to a dynamic interference factor, for example, -5 to 0 ml / s corresponds to a dynamic interference factor of 0.8, 0 to +5 ml / s corresponds to a dynamic interference factor of 1.0, and +5 to +10 ml / s corresponds to a dynamic interference factor of 1.2; the interference factor table is pre-set through experimental data to reflect the influence of different airflow rate deviations on waste heat dissipation, for example, a positive deviation (airflow rate higher than the benchmark) accelerates waste heat dissipation, corresponding to a higher interference factor, and a negative deviation (airflow rate lower than the benchmark) inhibits waste heat dissipation, corresponding to a lower interference factor.

[0028] The superposition effect weight coefficient is multiplied by the dynamic interference factor to obtain a corrected dynamic interference factor; the superposition effect weight coefficient comes from the superposition effect weight coefficient output in step S1, which reflects the contribution weight of the user's historical puffing behavior to the residual heat accumulation; for example, if the superposition effect weight coefficient is 0.9 and the dynamic interference factor is 1.2, then the corrected dynamic interference factor is 0.9×1.2=1.08; the multiplication operation is used to combine the historical behavior weight with the current airflow interference effect to achieve multi-parameter coupling correction, ensuring that the dynamic interference intensity assessment takes into account both user habits and immediate environmental factors.

[0029] The dynamic interference intensity of the airflow on the residual heat residue is calculated according to the product relationship between the corrected dynamic interference factor and the current puff interval time; the current puff interval time is the time interval between the current puff action detected in step S1 and the previous puff action, for example, the current puff interval time is 8 seconds; the product relationship represents the amplification or reduction effect of the corrected dynamic interference factor on the current puff interval time, for example, the corrected dynamic interference factor is 1.08, and the current puff interval time is 8 seconds, then the dynamic interference intensity is 1.08×8=8.64 seconds; the dynamic interference intensity is used to quantify the equivalent influence time of the airflow rate deviation on the residual heat residue under the action of the corrected interference factor, and the larger the value, the more significant the enhancement or suppression effect of the airflow on the dissipation of residual heat.

[0030] The dynamic interference intensity is compared with the preset interference intensity threshold. If it exceeds the interference intensity threshold, the dynamic interference intensity correction instruction is triggered; the interference intensity threshold is set according to the equipment safety temperature control requirements, for example, the threshold is set to 10 seconds; when the dynamic interference intensity exceeds 10 seconds, it indicates that the impact of the airflow on the residual heat exceeds the safety range and a correction instruction needs to be triggered; the correction instruction includes adjusting the preheating power output or shortening the start-up delay of the constant temperature control program. For example, when the dynamic interference intensity is 12 seconds, the preheating power is reduced by 5% to suppress the accumulation of residual heat; the threshold is determined through experimental testing to ensure that the risk of residual heat runaway can be covered in typical usage scenarios.

[0031] S3. Detect the deviation direction of the temperature drop rate of the atomization chamber and determine the stability level of the residual heat decay trend in combination with the dynamic interference intensity, including: Monitor the temperature data of the atomization chamber in real time, and calculate the temperature change between two adjacent sampling periods to determine the temperature drop rate; The deviation direction is determined according to the positive and negative signs of the temperature drop rate, wherein a positive sign indicates that the temperature drop rate is higher than the reference rate, and a negative sign indicates that the temperature drop rate is lower than the reference rate; Based on the deviation direction and the preset interference intensity interval of the dynamic interference intensity, query the preset stability level determination table; According to the corresponding stability level rules in the stability level determination table, the stability level of the residual heat decay trend is output; When the stability level is unstable, the residual heat decay correction instruction is triggered to adjust the preheating power output ratio.

[0032] The temperature data of the atomization cavity is monitored in real time. Specifically, the real-time temperature value of the atomization cavity is collected through the NTC thermistor embedded in the electronic cigarette device. The sampling frequency is 10 times per second, and the temperature data of two consecutive sampling cycles are stored as a temperature sequence; when calculating the temperature change between two adjacent sampling cycles, the temperature value of the current sampling cycle is subtracted from the temperature value of the previous sampling cycle to obtain the temperature change; for example, if the current sampling temperature is T1 and the previous sampling temperature is T1, the temperature change is ΔT=T2−T1; the temperature drop rate is the temperature change per unit time, for example, when the sampling period is 0.1 second, the temperature drop rate is ΔT / 0.1 second; if ΔT is a negative value, it means that the temperature is dropping, and the larger the absolute value of the rate, the faster the temperature drops; if ΔT is a positive value, it means that the temperature rise or drop rate is slowing down.

[0033] The deviation direction is determined according to the positive and negative signs of the temperature drop rate, where the reference rate is a preset temperature drop rate reference value, for example, the reference rate is -5°C / second (the negative sign indicates a temperature drop); the deviation direction is determined by comparing the sign difference between the current temperature drop rate and the reference rate: if the current temperature drop rate is lower than the reference rate (for example, the current rate is -3°C / second and the reference rate is -5°C / second), the deviation direction is determined to be a negative sign; if the current rate is higher than the reference rate (for example, the current rate is -6°C / second), the deviation direction is determined to be a positive sign; the sign difference is used to reflect the acceleration or deceleration trend of the temperature drop rate, for example, a positive sign indicates that the temperature drop rate is accelerated and the residual heat dissipation efficiency is improved, and a negative sign indicates that the temperature drop rate is slowed down and the risk of residual heat retention is increased.

[0034] Based on the preset interference intensity range of the deviation direction and the dynamic interference intensity, the preset stability level determination table is queried; the dynamic interference intensity is the dynamic interference intensity value output in step S2, and its unit is second, which is used to quantify the equivalent impact time of the airflow on the residual heat residue; the preset interference intensity range is to divide the dynamic interference intensity into multiple continuous ranges, such as 0-5 seconds, 5-10 seconds, and 10-15 seconds; the stability level determination table is a preset stability level mapping rule based on the combination of the deviation direction and the interference intensity range, for example, when the deviation direction is a positive sign and the dynamic interference intensity is in the range of 5-10 seconds, the stability level is determined to be "high"; when the deviation direction is a negative sign and the dynamic interference intensity is in the range of 10-15 seconds, the stability level is determined to be "low"; the determination table is pre-set through experimental data to ensure the reasonable classification of stability levels under different parameter combinations.

[0035] According to the corresponding stability level rules in the stability level determination table, the stability level of the residual heat decay trend is output; the stability level is divided into three levels: high, medium and low, which respectively indicate the degree of controllability of the residual heat decay; for example, when the stability level is "high", it indicates that the residual heat decay trend under the synergistic effect of the temperature drop rate and the airflow interference intensity is stable and controllable; when the level is "low", it indicates that there is a risk of out-of-control of the residual heat decay; the level rules are summarized through experimental testing of temperature fluctuation data under different parameter combinations. For example, when the dynamic interference intensity exceeds 10 seconds and the deviation direction is negative, the probability of triggering the "low" level exceeds 80%.

[0036] When the stability level is unstable, the residual heat decay correction instruction is triggered to adjust the preheating power output ratio; the unstable state corresponds to the situation where the stability level is "low"; the correction instruction includes reducing or increasing the output ratio of the preheating power according to the stability level, for example, when the stability level is "low", the preheating power output ratio is reduced by 10% to suppress the accumulation of residual heat; the adjustment ratio is determined by a preset power correction rule, for example, for each decrease in stability level (from medium to low), the power output ratio is reduced by 5%; the execution result of the correction instruction is fed back to the constant temperature control program in step S6 to form a closed-loop control.

[0037] S4. Determine the contact area ratio between the heating element and the e-liquid, and divide the residual heat conduction efficiency level according to the stability level, including: Detecting a current resistance value of the heating element, calculating a deviation between the current resistance value and an initial resistance value, and determining a contact area ratio based on a deviation and a preset resistance-contact area mapping relationship; According to the level interval of the stability level, dynamically adjust the deviation judgment threshold in the resistance-contact area mapping relationship; When the deviation exceeds the adjusted deviation determination threshold, based on the combined relationship between the proportion interval of the contact area proportion and the stability level, a preset conduction efficiency correction rule table is queried; Generate the waste heat conduction efficiency level according to the product relationship between the corresponding correction coefficient and the dynamic interference intensity in the conduction efficiency correction rule table; The waste heat conduction efficiency level is input into a preset level-efficiency mapping table, and the waste heat conduction efficiency correction coefficient is output.

[0038] The current resistance value of the heating element is detected, specifically, the voltage and current data at both ends of the heating element are collected in real time through the circuit board of the electronic cigarette device, and the current resistance value is calculated according to Ohm's law; the initial resistance value is the standard resistance value of the heating element when it leaves the factory, which is pre-stored in the device memory; the deviation is the percentage difference between the current resistance value and the initial resistance value, for example, if the initial resistance value is 1.0Ω and the current resistance value is 1.2Ω, then the deviation is (1.2−1.0) / 1.0×100%=20%; the resistance-contact area mapping relationship is a linear or nonlinear correspondence between the resistance deviation and the contact area ratio established through experiments, for example, a deviation of 10% corresponds to a contact area ratio reduced to 70%, and a deviation of 20% corresponds to a contact area ratio reduced to 50%; the mapping relationship is obtained by testing the actual contact area between the heating element and the e-liquid under different resistance deviations, to ensure the inverse correlation between the deviation and the contact area ratio.

[0039] According to the level interval of the stability level, the deviation judgment threshold in the resistance-contact area mapping relationship is dynamically adjusted; the stability level is divided into three levels: high, medium and low, which comes from the output result of step S3; when the stability level is "low", it indicates that the residual heat attenuation trend is unstable. At this time, the deviation judgment threshold is relaxed to improve fault tolerance, for example, the original threshold of 10% is adjusted to 15%; when the stability level is "high", the original threshold is maintained or the threshold range is narrowed to improve accuracy; the dynamic adjustment rules are experimentally tested to set the residual heat runaway risk at different stability levels. For example, a higher deviation is allowed at a low level to avoid frequent false triggering of correction instructions.

[0040] When the deviation exceeds the adjusted deviation judgment threshold, the preset conduction efficiency correction rule table is queried based on the combination relationship between the proportion interval of the contact area ratio and the stability level; the proportion interval is to divide the contact area ratio into multiple ranges, such as 0-30%, 30-60%, 60-100%; the conduction efficiency correction rule table is a preset correction coefficient based on the combination of the contact area proportion interval and the stability level, for example, when the contact area ratio is 30-60% and the stability level is "medium", the correction coefficient is 0.9; when the contact area ratio is 0-30% and the stability level is "low", the correction coefficient is 1.2; the rule table is derived by summarizing the residual heat conduction efficiency loss rate under experimental tests of different combinations of contact areas and stability levels, to ensure that the correction coefficient reasonably reflects the actual heat conduction state.

[0041] The waste heat conduction efficiency level is generated according to the product relationship between the corresponding correction coefficient and the dynamic interference intensity in the conduction efficiency correction rule table; the dynamic interference intensity is the dynamic interference intensity value output in step S2, and its unit is second, which represents the equivalent influence time of the airflow on the residual waste heat; the product relationship is used to quantify the amplification or reduction effect of the correction coefficient on the dynamic interference intensity, for example, if the correction coefficient is 0.9 and the dynamic interference intensity is 10 seconds, then the waste heat conduction efficiency level is 0.9×10=9 seconds; the product result is reflected in the equivalent conduction efficiency influence time after considering the contact area and the stability level correction, and the larger the value, the more serious the waste heat conduction efficiency loss.

[0042] The waste heat conduction efficiency level is input into a preset level-efficiency mapping table, and a waste heat conduction efficiency correction coefficient is output; the level-efficiency mapping table divides the waste heat conduction efficiency level into multiple intervals and maps them into correction coefficients, for example, 0-5 seconds corresponds to a correction coefficient of 1.0 (no correction), 5-10 seconds corresponds to a correction coefficient of 0.8, and 10-15 seconds corresponds to a correction coefficient of 0.6; the mapping table is set by experimentally testing the actual temperature compensation requirements under different conduction efficiency levels, for example, when the conduction efficiency level is 9 seconds, the correction coefficient is 0.8, indicating that the preheating power needs to be reduced by 20%; the correction coefficient is used to calculate the target temperature compensation value in step S5, for example, the correction coefficient 0.8 is multiplied by the basic compensation value to obtain the final compensation value.

[0043] S5. Querying a preset temperature compensation mapping table based on the waste heat conduction efficiency level to calculate a target temperature compensation value, including: Obtaining a residual heat conduction efficiency correction coefficient, and querying a corresponding basic temperature compensation value in a preset temperature compensation mapping table based on the residual heat conduction efficiency correction coefficient; According to the level interval of the stability level, the query interval range of the temperature compensation mapping table is adjusted; Combined with the product relationship between the dynamic interference intensity and the basic temperature compensation value, the preliminary corrected temperature compensation value is calculated; Generate a target temperature compensation value based on a weighted summation relationship between a residual heat conduction efficiency correction coefficient and a preliminary correction temperature compensation value; The final target temperature compensation value output range is determined based on the comparison result between the target temperature compensation value and the preset compensation threshold.

[0044] Obtain the residual heat conduction efficiency correction coefficient, specifically read the residual heat conduction efficiency correction coefficient from the output result of step S4; the residual heat conduction efficiency correction coefficient is a correction parameter reflecting the contact area between the heating element and the e-liquid and the conduction efficiency loss. For example, when the correction coefficient is 0.8, it indicates that the current conduction efficiency loss is 20%; the temperature compensation mapping table is a correspondence table between the preset residual heat conduction efficiency correction coefficient and the basic temperature compensation value, for example, a correction coefficient of 0.8 corresponds to a basic temperature compensation value of -5°C (the negative sign indicates a lowering of the preheating target temperature), and a correction coefficient of 1.0 corresponds to a basic temperature compensation value of 0°C (no correction); the mapping table is established by experimentally testing the temperature compensation requirements under different conduction efficiencies to ensure the physical correlation between the correction coefficient and the compensation value.

[0045] According to the level interval of the stability level, adjust the query interval range of the temperature compensation mapping table; the stability level is divided into three levels: high, medium and low, which comes from the output result of step S3; when the stability level is "low", expand the query interval range from ±5℃ to ±8℃ to cover a larger compensation range to deal with the risk of residual heat runaway; when the stability level is "high", maintain the original query interval of ±3℃ to improve the temperature control accuracy; the adjustment rules are experimentally tested to set the temperature fluctuation tolerance at different stability levels, for example, a larger compensation range is allowed at low levels to avoid temperature overshoot.

[0046] The preliminary corrected temperature compensation value is calculated by combining the multiplication relationship between the dynamic interference intensity and the basic temperature compensation value; the dynamic interference intensity is the dynamic interference intensity value output in step S2, and its unit is seconds, which represents the equivalent impact duration of the airflow on the residual heat residue; the multiplication relationship is used to quantify the amplification effect of the dynamic interference intensity on the basic compensation value, for example, if the basic temperature compensation value is -5°C and the dynamic interference intensity is 8 seconds, then the preliminary corrected temperature compensation value is -5°C×8 seconds=-40°C·seconds; the product result reflects the equivalent temperature compensation requirement after considering the airflow interference, and the larger the absolute value, the higher the compensation requirement.

[0047] The target temperature compensation value is generated based on the weighted summation relationship between the residual heat conduction efficiency correction coefficient and the preliminary corrected temperature compensation value; the weighted summation relationship is that the residual heat conduction efficiency correction coefficient is used as weight 1, and the preliminary corrected temperature compensation value is used as weight 2, and they are superimposed and calculated according to a preset ratio; for example, weight 1 is 0.6, and weight 2 is 0.4, then the target temperature compensation value = 0.6 × residual heat conduction efficiency correction coefficient + 0.4 × preliminary corrected temperature compensation value; the weight ratio is determined by experimentally testing the contribution of different parameters to temperature compensation, for example, when the conduction efficiency correction coefficient is dominant, weight 1 is set to 0.7.

[0048] The output range of the final target temperature compensation value is determined based on the comparison result between the target temperature compensation value and the preset compensation threshold; the compensation threshold is set according to the maximum allowable temperature deviation of the equipment, for example, the upper limit is +10°C and the lower limit is -15°C; when the target temperature compensation value exceeds the threshold, the output range is limited to the threshold boundary; for example, if the target temperature compensation value is -18°C, -15°C is output according to the lower limit of the threshold; the threshold is determined through safety testing to ensure that the compensation value is within the tolerance range of the equipment.

[0049] S6. When the user takes the next puff, the preheating target temperature is adjusted based on the target temperature compensation value, the constant temperature control program is started, and the preset atomization temperature range is maintained through real-time temperature feedback, including: Adjusting the initial setting value of the preheating target temperature according to the target temperature compensation value to generate a compensated target preheating temperature; Based on the difference between the compensated target preheating temperature and the preset atomization temperature range, a dynamic staged control rule for preheating power output is divided; According to the dynamic stage control rule, a first power value is output at the beginning of the preheating stage, and a second power value is output during the duration of the preheating stage; After starting the constant temperature control program, the current temperature data of the atomization chamber is monitored in real time, and the real-time deviation between the current temperature and the compensated target preheating temperature is calculated; Dynamically adjust the power output ratio of the constant temperature control program according to the product relationship between the real-time deviation and the dynamic interference intensity; When the real-time temperature data is continuously within the preset atomization temperature range, the power output ratio is locked until the current puffing action is completed.

[0050] The initial setting value of the preheating target temperature is adjusted according to the target temperature compensation value to generate a compensated target preheating temperature; the target temperature compensation value is the final target temperature compensation value outputted in step S5, which represents the temperature adjustment amount after comprehensive correction based on residual heat accumulation, airflow interference and device status; for example, if the initial preheating target temperature is 200°C and the target temperature compensation value is -15°C, then the compensated target preheating temperature is 185°C; the adjustment operation is implemented by modifying the value in the preheating target temperature register by the microcontroller (MCU) of the electronic cigarette device to ensure that the subsequent temperature control logic is executed based on the corrected temperature.

[0051] Based on the difference between the compensated target preheating temperature and the preset atomization temperature range, the dynamic staged control rules for preheating power output are divided; the preset atomization temperature range is the safe operating temperature range preset by the device according to the composition of the e-liquid, for example, 180°C to 220°C; the difference is the absolute value of the compensated target preheating temperature and the median of the preset atomization temperature range, for example, if the median is 200°C and the compensated target is 185°C, then the difference is 15°C; the dynamic staged control rule is to divide different preheating stages according to the size of the difference: when the difference is greater than 10°C, the preheating stage is divided into the initial stage (0-2 seconds) and the continuous stage (2 seconds until the target temperature is reached); when the difference is less than or equal to 10°C, only a single preheating stage is executed; the rules are set by experimentally testing the heating efficiency and safety requirements under different temperature differences.

[0052] According to the dynamic staged control rule, a first power value is output at the beginning of the preheating stage, and a second power value is output during the duration of the preheating stage; the first power value is an initial high power mode, which is used to quickly approach the target temperature, for example, it is set to 120% of the rated power; the second power value is a maintenance power mode, which is used to prevent temperature overshoot, for example, it is set to 80% of the rated power; the power switching timing is triggered by a timer or temperature feedback, for example, the initial stage lasts for 2 seconds and then automatically switches to the duration, or switches when the temperature reaches 90% of the target preheating temperature after compensation; the rated power value is calculated based on the resistance of the heating element and the supply voltage, for example, the rated power is 9W when the resistance is 1Ω and the voltage is 3V.

[0053] After starting the constant temperature control program, the current temperature data of the atomization chamber is monitored in real time, and the real-time deviation between the current temperature and the compensated target preheating temperature is calculated; the temperature data is acquired through the NTC thermistor at a sampling frequency of 10 times per second in real time; the real-time deviation is the difference between the current temperature and the compensated target preheating temperature, for example, if the current temperature is 190°C and the target is 185°C, the deviation is +5°C; the deviation value is used to evaluate the current temperature control accuracy, a positive value indicates that the temperature is too high and the power needs to be reduced, and a negative value indicates that the temperature is insufficient and the power needs to be increased.

[0054] The power output ratio of the constant temperature control program is dynamically adjusted according to the product relationship between the real-time deviation and the dynamic interference intensity; the dynamic interference intensity is the dynamic interference intensity value output in step S2, and its unit is second, which represents the equivalent impact duration of the airflow on the residual heat residue; the product relationship is used to quantify the synergistic effect of the deviation and the airflow interference, for example, if the real-time deviation is -5°C (insufficient temperature) and the dynamic interference intensity is 8 seconds, the product result is -40°C·second, corresponding to a 5% increase in the power output ratio; the adjustment ratio is determined by a preset mapping relationship, for example, every -10°C·second corresponds to a 1% increase in power, and every +10°C·second corresponds to a 1% decrease in power.

[0055] When the real-time temperature data is continuously in the preset atomization temperature range, the power output ratio is locked until the current puffing action ends; the condition for determining the continuous state is that the temperature data for three consecutive sampling cycles are all in the preset atomization temperature range; for example, if the temperature is continuously maintained in the range of 180°C to 220°C for 0.3 seconds (3×0.1 second sampling cycles), it is determined to be in a stable state; the locking operation is used to maintain the current power output ratio to avoid frequent adjustments due to minor fluctuations; if the temperature exceeds the preset range, the lock is immediately released and the deviation and power ratio are recalculated.

[0056] The above formulas are all dimensionless and numerical calculations. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0057] It should be noted that the present invention can be deployed on the device itself to realize embedded applications, and can also be run on a PC or other terminal with a user interface, so as to meet various hardware environments and usage requirements.

[0058] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or may be transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium may be a solid-state hard disk.

[0059] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0060] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0061] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0062] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. The temperature control algorithm of the electronic cigarette with preheating function is characterized by: The steps include: S1. Obtain the time interval distribution characteristics of the user's historical puffing actions and the current puffing interval to evaluate the superposition effect of residual heat accumulation in the atomization chamber; S2, monitoring the airflow rate deviation of the current suction action, and evaluating the dynamic interference intensity of the airflow on the residual heat residue in combination with the superposition effect; S3. Detect the deviation direction of the temperature drop rate of the atomization chamber, and determine the stability level of the residual heat decay trend in combination with the dynamic interference intensity; S4. Determine the contact area ratio between the heating element and the e-liquid, and classify the residual heat conduction efficiency level based on the stability level; S5. Query a preset temperature compensation mapping table based on the waste heat conduction efficiency level to calculate a target temperature compensation value; S6. When the user takes a puff next time, the preheating target temperature is adjusted based on the target temperature compensation value, the constant temperature control program is started, and the preset atomization temperature range is maintained through real-time temperature feedback.

2. The electronic cigarette temperature control algorithm with preheating function according to claim 1, characterized in that: Obtain the time interval distribution characteristics of the user's historical puffing actions and the current puffing interval to evaluate the superposition effect of residual heat accumulation in the atomization chamber, including: Obtain a timestamp sequence of historical puffing actions of the user, extract the time intervals between adjacent puffing actions in the timestamp sequence and generate a time interval sequence; Extract the time interval distribution characteristics based on the fluctuation amplitude and change direction of the time interval series, where the change direction is the monotonicity of the time interval increasing or decreasing over time; Detecting the current puff interval between the current puff action and the last puff action, and determining the matching degree between the current puff interval and the most recent several time intervals in the time interval distribution feature; When the matching degree exceeds a preset threshold, the superposition effect weight coefficient is adjusted according to the density distribution pattern of the time interval in the time interval distribution feature; Based on the product relationship between the superposition effect weight coefficient and the current puff interval time, the superposition effect of the accumulated residual heat in the atomization chamber is output.

3. The electronic cigarette temperature control algorithm with preheating function according to claim 1, characterized in that: Monitor the airflow rate deviation of the current suction action, and evaluate the dynamic interference intensity of the airflow on the residual heat residue in combination with the superposition effect, including: Obtaining the airflow rate of the current puffing action, and calculating the airflow rate deviation value based on a preset reference airflow rate; According to the preset deviation interval of the airflow rate deviation value, query the corresponding dynamic interference factor in the preset interference factor table; Multiply the superposition effect weight coefficient by the dynamic interference factor to obtain the corrected dynamic interference factor; According to the product relationship between the corrected dynamic interference factor and the current suction interval time, the dynamic interference intensity of the airflow on the residual heat residue is calculated; The dynamic interference intensity is compared with a preset interference intensity threshold, and if it exceeds the interference intensity threshold, a dynamic interference intensity correction instruction is triggered.

4. The electronic cigarette temperature control algorithm with preheating function according to claim 1, characterized in that: Detect the deviation direction of the temperature drop rate of the atomization chamber, and determine the stability level of the residual heat decay trend in combination with the dynamic interference intensity, including: Monitor the temperature data of the atomization chamber in real time, and calculate the temperature change between two adjacent sampling periods to determine the temperature drop rate; The deviation direction is determined according to the positive and negative signs of the temperature drop rate; Based on the deviation direction and the preset interference intensity interval of the dynamic interference intensity, query the preset stability level determination table; According to the corresponding stability level rules in the stability level determination table, the stability level of the residual heat decay trend is output; When the stability level is unstable, the residual heat decay correction instruction is triggered to adjust the preheating power output ratio.

5. The electronic cigarette temperature control algorithm with preheating function according to claim 4, characterized in that: The positive sign indicates that the temperature drop rate is higher than the reference rate, and the negative sign indicates that the temperature drop rate is lower than the reference rate.

6. The electronic cigarette temperature control algorithm with preheating function according to claim 1, characterized in that: Determine the contact area ratio between the heating element and the e-liquid, and divide the residual heat conduction efficiency level into the following levels based on the stability level: Detecting a current resistance value of the heating element, calculating a deviation between the current resistance value and an initial resistance value, and determining a contact area ratio based on a deviation and a preset resistance-contact area mapping relationship; According to the level interval of the stability level, dynamically adjust the deviation judgment threshold in the resistance-contact area mapping relationship; When the deviation exceeds the adjusted deviation determination threshold, based on the combined relationship between the proportion interval of the contact area proportion and the stability level, a preset conduction efficiency correction rule table is queried; Generate the waste heat conduction efficiency level according to the product relationship between the corresponding correction coefficient and the dynamic interference intensity in the conduction efficiency correction rule table; The waste heat conduction efficiency level is input into a preset level-efficiency mapping table, and the waste heat conduction efficiency correction coefficient is output.

7. The electronic cigarette temperature control algorithm with preheating function according to claim 1, characterized in that: Based on the waste heat conduction efficiency level, the preset temperature compensation mapping table is queried to calculate the target temperature compensation value, including: Obtaining a residual heat conduction efficiency correction coefficient, and querying a corresponding basic temperature compensation value in a preset temperature compensation mapping table based on the residual heat conduction efficiency correction coefficient; According to the level interval of the stability level, the query interval range of the temperature compensation mapping table is adjusted; Combined with the product relationship between the dynamic interference intensity and the basic temperature compensation value, the preliminary corrected temperature compensation value is calculated; Generate a target temperature compensation value based on a weighted summation relationship between a residual heat conduction efficiency correction coefficient and a preliminary correction temperature compensation value; The final target temperature compensation value output range is determined based on the comparison result between the target temperature compensation value and the preset compensation threshold.

8. The electronic cigarette temperature control algorithm with preheating function according to claim 1, characterized in that: The preheating target temperature is adjusted based on the target temperature compensation value when the user takes the next puff, the constant temperature control program is started, and the preset atomization temperature range is maintained through real-time temperature feedback, including: Adjusting the initial setting value of the preheating target temperature according to the target temperature compensation value to generate a compensated target preheating temperature; Based on the difference between the compensated target preheating temperature and the preset atomization temperature range, a dynamic staged control rule for preheating power output is divided; According to the dynamic stage control rule, a first power value is output at the beginning of the preheating stage, and a second power value is output during the duration of the preheating stage; After starting the constant temperature control program, the current temperature data of the atomization chamber is monitored in real time, and the real-time deviation between the current temperature and the compensated target preheating temperature is calculated; Dynamically adjust the power output ratio of the constant temperature control program according to the product relationship between the real-time deviation and the dynamic interference intensity; When the real-time temperature data is continuously within the preset atomization temperature range, the power output ratio is locked until the current puffing action ends.

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