Thermal management system capable of adjusting temperature in split type battery cabinet

Abstract

The invention belongs to the technical field of battery cabinets, and particularly relates to a thermal management system capable of adjusting the temperature in a split battery cabinet, which realizes accurate control of the temperature in the battery cabinet by introducing a dynamic adjusting device and a closed-loop feedback mechanism. The induction unit monitors environment change in real time and rapidly starts heating operation, the dynamic adjusting device automatically optimizes heat distribution according to actual temperature difference of different positions in the battery cabinet and ensures uniform heat distribution, the feedback monitoring station and the initial induction unit form a closed loop, and continuous monitoring and timely adjustment of heating intensity are realized. Stable operation and efficient management of the system are guaranteed, effectiveness and reliability of temperature management in the battery cabinet under the extremely low temperature condition are remarkably improved, the optimal working state of the battery is guaranteed, and the service life of the battery is prolonged.

Description

Technical Field

[0001] The present invention belongs to the technical field of battery cabinets, and in particular relates to a thermal management system capable of regulating the temperature in a split battery cabinet. Background Art

[0002] In existing split-type battery cabinet temperature management systems, fixed heating and cooling strategies are usually used to maintain the operating temperature of the battery. These systems generally include one or more temperature sensors to monitor the ambient and internal temperatures, and trigger heating or cooling equipment based on preset thresholds. However, this traditional temperature management solution has certain limitations. Especially in extremely low temperature environments, the heating efficiency of existing systems may not be sufficient to quickly and effectively raise the temperature inside the battery cabinet to a suitable operating range. In addition, fixed heating strategies cannot be accurately adjusted according to the specific temperature differences in different locations in the battery cabinet, which may lead to uneven heat distribution and affect battery performance and life.

[0003] Specifically, the main problem faced by the existing technology is that in extremely low temperature environments, it is difficult for the existing thermal management system to ensure that the entire battery cabinet is heated effectively and evenly to maintain the required operating temperature of the battery. This not only affects the charging and discharging efficiency of the battery, but may also cause the battery performance to deteriorate or even be damaged. Summary of the invention

[0004] The purpose of the present invention is to provide a thermal management system capable of regulating the temperature inside a split battery cabinet. By introducing a dynamic adjustment device and a closed-loop feedback mechanism, precise control of the temperature inside the battery cabinet is achieved to solve the problems in the prior art raised in the above background technology.

[0005] To achieve the above object, the present invention adopts the following technical solution: a thermal management system capable of regulating the temperature inside a split battery cabinet, comprising:

[0006] a sensing unit activated in response to changes in environmental conditions, the sensing unit being connected to an analysis and processing center which evaluates whether to activate a heating operation based on data provided by the sensing unit;

[0007] The analysis and processing center is coupled with a command generator. When it is determined that heating is required, the command generator sends an activation signal to a distributed heating element array. After each member of the heating element array receives the signal from the command generator, it triggers an energy conversion component connected thereto to convert electrical energy into thermal energy.

[0008] The energy conversion assembly is connected to a heat conduction network, which is connected to a dynamic adjustment device, which automatically optimizes heat distribution according to temperature differences in the battery cabinet;

[0009] The dynamic adjustment device also interacts with a feedback monitoring station to continuously monitor the temperature and adjust the heating intensity in a timely manner. The feedback monitoring station forms a closed loop with the initial sensing unit to ensure the stable operation and management of the entire system.

[0010] Preferably, the sensing unit comprises:

[0011] Environmental parameter detector, used to obtain the ambient temperature T_env;

[0012] A comparison component, used for receiving a temperature value T_env from an environmental parameter detector and comparing it with a preset low temperature threshold T_min, and generating an activation signal S_act if T_env is less than T_min;

[0013] The time delay controller, after receiving the activation signal S_act from the comparison component, delays the output of the control signal C_ctrl to the subsequent module according to a preset time interval Δt;

[0014] After receiving the control signal C_ctrl from the time delay controller, the intensity regulator calculates the heating power P_heat to be provided, through the formula P_heat = α*(T_target-T_env), where α is the proportionality coefficient and T_target is the target maintenance temperature.

[0015] Preferably, the analysis and processing center comprises:

[0016] A data receiving interface, used to receive data D_sense from the sensing unit, including but not limited to the ambient temperature T_env and the temperature inside the battery cabinet T_cab;

[0017] A difference calculation unit connected to the data receiving interface, used to calculate the difference ΔT_low between T_env and a preset lower limit of the operating temperature T_min, and to calculate the difference ΔT_high between T_cab and a preset upper limit of the operating temperature T_max, wherein the calculation formulas are ΔT_low=T_min-T_env and ΔT_high=T_cab-T_max;

[0018] A decision logic module receives the ΔT_low and ΔT_high values ​​from the difference calculation unit, and when ΔT_low>0 or ΔT_high<0, the decision logic module generates a heating request signal R_heat;

[0019] The priority judge receives the heating request signal R_heat from the decision logic module and checks whether there are other operation instructions O_opr. If there are no other operation instructions with higher priority, the heating request is allowed to pass and a confirmation signal A_conf is sent to the instruction generator.

[0020] Preferably, the instruction generator comprises:

[0021] A signal preparation unit, used for receiving a confirmation signal A_conf from the analysis and processing center, and preparing an activation command C_cmd according to the signal;

[0022] An address distributor, connected to the signal preparation unit, for distributing a unique address identifier ID_addr to each distributed heating element;

[0023] The power setting module is connected to the address distributor, and calculates the required heating power P_set according to the preset heating mode M_heat and the current ambient temperature T_env. The calculation formula is P_set=β*(T_target-T_env), where β is the proportionality coefficient;

[0024] The command transmitter receives the P_set value from the power setting module and the ID_addr information from the address distributor, and combines them into a complete activation signal S_actv. The command transmitter sends S_actv to the corresponding heating element.

[0025] Preferably, the heating element array comprises:

[0026] A signal receiving port, used to receive an activation signal S_actv from a command generator, the signal including an address identifier ID_addr for a specific heating element and a set heating power P_set;

[0027] Verification module, connected to the signal receiving port, verifies whether the ID_addr in the received S_actv matches its own address;

[0028] The current regulating unit receives the activation signal S_actv confirmed by the verification module, and adjusts the current I_adj supplied to the energy conversion component according to the P_set value therein, and the current adjustment formula is I_adj=P_set / V_supply, where V_supply is the supply voltage;

[0029] The energy conversion component is connected to the current regulating unit, receives the adjusted current I_adj, and converts it into heat energy Q_heat. The conversion relationship follows Joule's law, and the calculation formula is Q_heat=I_adj^2*R_heater*t, where R_heater is the heating resistance and t is the time.

[0030] Preferably, the energy conversion component comprises:

[0031] An electric energy receiving interface, used for receiving an adjusted current I_adj from a current regulating unit;

[0032] The resistance heating element is connected to the power receiving interface and converts the received current I_adj into heat energy Q_heat through the internal resistor R_heater. The conversion formula is Q_heat = I_adj^2*R_heater;

[0033] The heat transfer interface is connected to the resistance heating element and is responsible for efficiently transferring the generated heat energy Q_heat to the heat conduction network. The transfer efficiency η_trans is calculated as η_trans=Q_delivered / Q_heat, where Q_delivered is the actual heat transferred to the heat conduction network.

[0034] The temperature monitor is connected to the heat transfer interface to monitor the temperature change T_change during the transfer process in real time, and adjust the working state of the resistance heating element according to the temperature feedback. The adjustment formula is R_heater_adjusted = R_heater*(1+μ*T_change), where μ is the temperature sensitivity coefficient.

[0035] Preferably, the heat conduction network comprises:

[0036] The heat receiving interface is used to directly receive the heat energy Q_heat generated by the energy conversion component and initially homogenize it;

[0037] The heat transfer medium distributor is connected to the heat receiving interface. According to the internal structure of the battery cabinet and the preset heat distribution mode D_mode, the heat energy is transferred through different paths. The distributor ensures that the heat flow F_path on each path matches the demand of the required location. The calculation formula is F_path = Q_heat / N_paths, where N_paths is the number of heat conduction paths;

[0038] The multi-layer heat conducting plate receives the heat flow F_path from the heat conducting medium distributor. The multi-layer heat conducting plate is composed of several layers of high-efficiency heat conducting materials. There is an optimized contact between each layer to minimize the thermal resistance R_contact. The thermal resistance calculation formula is R_contact = δ / (k*A), where δ is the interlayer contact thickness, k is the thermal conductivity, and A is the contact area;

[0039] The temperature balance controller is connected to the multi-layer heat conduction plate to monitor and adjust the temperature difference ΔT_layer between each layer. The controller adjusts the working state of the heat conduction plate according to the real-time temperature feedback so that ΔT_layer≤T_tolerance, where T_tolerance is the set temperature tolerance.

[0040] Preferably, the dynamic adjustment device comprises:

[0041] The temperature difference detector is used to monitor the temperature T_pos at different positions in the battery cabinet in real time and calculate the temperature difference ΔT_pos between the positions. The calculation formula is ΔT_pos=|T_pos(i)-T_pos_avg|, where T_pos(i) is the actual temperature of a certain position and T_pos_avg is the average temperature of all positions;

[0042] A heat demand estimator, connected to the temperature difference detector, estimates the additional heat Q_add required for each position based on ΔT_pos, and the evaluation formula is Q_add(i)=γ*ΔT_pos(i), where γ is a heat compensation coefficient;

[0043] The allocation optimization controller receives the Q_add data from the heat demand evaluator and optimizes the heat flow F_opt on each heat conduction path according to the current heat distribution. The optimization formula is F_opt(path)=F_path+Q_add(i) / N_paths_connected, where N_paths_connected is the number of heat conduction paths connected to the location;

[0044] The feedback regulation unit is connected to the distribution optimization controller, continuously monitors the adjusted temperature changes and makes fine adjustments to ensure that the final temperature difference ΔT_final remains within the set tolerance range. The regulation formula is ΔT_final = ΔT_pos-η*(Q_add(i) / C_thermal), where η is the efficiency factor and C_thermal is the thermal capacity.

[0045] Preferably, the feedback monitoring station comprises:

[0046] Temperature data collector, used to continuously collect the real-time temperature T_real at multiple locations in the battery cabinet;

[0047] The comparison and analysis unit is connected to the temperature data collector, compares the received real-time temperature T_real with the preset target temperature T_target, and calculates the temperature deviation ΔT_dev, and the calculation formula is ΔT_dev=T_real-T_target;

[0048] The intensity adjustment controller receives the ΔT_dev value from the comparison and analysis unit, and adjusts the working intensity P_adj of the heating element according to the temperature deviation. The adjustment formula is P_adj=P_base+κ*ΔT_dev, where P_base is the base heating power and κ is the adjustment coefficient;

[0049] The execution instruction generator is connected to the intensity adjustment controller, generates a new heating instruction I_new based on the adjusted heating power P_adj, and sends it back to the dynamic adjustment device to update the heat distribution. The instruction generation formula is I_new = f(P_adj), where f represents the mapping function from power to instruction.

[0050] Preferably, the feedback monitoring station forms a closed loop with the initial sensing unit to ensure the stable operation and management of the entire system, including:

[0051] Temperature verification interface, used to receive real-time temperature data T_real from the feedback monitoring station and compare it with the ambient temperature T_env initially obtained by the sensing unit;

[0052] The deviation calculation unit is connected to the temperature verification interface and calculates a new deviation ΔT_new between the real-time temperature T_real and the preset target temperature T_target, and the calculation formula is ΔT_new=T_real-T_target;

[0053] The cyclic adjustment controller receives the new deviation ΔT_new from the deviation calculation unit, combines it with the old deviation ΔT_old recorded before, and calculates the correction coefficient C_corr. The correction formula is C_corr = (ΔT_new-ΔT_old) / ΔT_old;

[0054] The instruction update module is connected to the loop adjustment controller, updates the initial parameter setting P_set of the sensing unit according to the correction coefficient C_corr, and the update formula is P_set_updated=P_set*(1+C_corr), and sends the updated parameters back to the sensing unit to complete the closed-loop control.

[0055] Technical effects and advantages of the present invention: Compared with the prior art, the thermal management system proposed by the present invention, which can adjust the temperature in the split battery cabinet, has the following advantages:

[0056] The present invention achieves precise control of the temperature inside the battery cabinet by introducing a dynamic adjustment device and a closed-loop feedback mechanism; the sensing unit monitors environmental changes in real time and quickly starts the heating operation, the dynamic adjustment device automatically optimizes heat distribution according to the actual temperature differences at different positions in the battery cabinet to ensure uniform heat distribution, and the feedback monitoring station forms a closed loop with the initial sensing unit to continuously monitor and adjust the heating intensity in a timely manner to ensure stable operation and efficient management of the system, which significantly improves the effectiveness and reliability of temperature management in the battery cabinet under extremely low temperature conditions, ensures the optimal working state of the battery and extends its service life. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1The present invention is a block diagram of a thermal management system capable of regulating the temperature inside a split battery cabinet. DETAILED DESCRIPTION

[0058] The following will be combined with the accompanying 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, rather than all the embodiments. The specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0059] The present invention provides Figure 1 A thermal management system capable of regulating the temperature inside a split battery cabinet is shown, comprising: a sensing unit, an analysis and processing center, a command generator, a heating element array, an energy conversion component, a heat conduction network, a dynamic adjustment device, and a feedback monitoring station.

[0060] In this embodiment, the sensing unit monitors environmental changes in real time and quickly starts the heating operation. The dynamic adjustment device automatically optimizes the heat distribution according to the actual temperature difference at different positions in the battery cabinet to ensure uniform heat distribution. The feedback monitoring station forms a closed loop with the initial sensing unit to continuously monitor and adjust the heating intensity in a timely manner to ensure stable operation and efficient management of the system, significantly improving the effectiveness and reliability of temperature management in the battery cabinet under extreme low temperature conditions, ensuring the best working state of the battery and extending its service life. The details are as follows:

[0061] In this embodiment, the sensing unit activated in response to changes in environmental conditions is connected to an analysis and processing center, which evaluates whether the heating operation needs to be activated based on data provided by the sensing unit.

[0062] Furthermore, the sensing unit comprises:

[0063] Environmental parameter detector is used to obtain the ambient temperature T_env; real-time acquisition of ambient temperature T_env ensures that the system can quickly respond to external temperature changes. Through precise temperature monitoring, it provides an accurate data basis for subsequent heating decisions.

[0064] The comparison component is used to receive the temperature value T_env from the environmental parameter detector and compare it with the preset low temperature threshold T_min. If T_env is less than T_min, an activation signal S_act is generated; this step ensures that the heating operation is started only when necessary, improves energy utilization efficiency and reduces unnecessary heating.

[0065] After receiving the activation signal S_act from the comparison component, the time delay controller delays the output of the control signal C_ctrl to the subsequent module according to the preset time interval Δt; the introduction of time delay can avoid erroneous operation caused by instantaneous temperature fluctuations and enhance the stability and reliability of the system.

[0066] After receiving the control signal C_ctrl from the time delay controller, the intensity regulator calculates the required heating power P_heat through the formula P_heat=α*(T_target-T_env), where α is the proportionality coefficient and T_target is the target maintenance temperature. This step dynamically adjusts the heating power to ensure that the heat provided meets the actual needs, thereby improving the heating efficiency and the accuracy of temperature control.

[0067] Furthermore, the analysis and processing center includes:

[0068] The data receiving interface is used to receive data D_sense from the sensing unit, including but not limited to the ambient temperature T_env and the temperature inside the battery cabinet T_cab; as a data entry, this interface ensures the timely transmission of all temperature information and supports subsequent modules to make accurate heating decisions.

[0069] The difference calculation unit is connected to the data receiving interface and is used to calculate the difference ΔT_low between T_env and the preset lower limit of the operating temperature T_min, and to calculate the difference ΔT_high between T_cab and the preset upper limit of the operating temperature T_max. The calculation formulas are ΔT_low=T_min-T_env and ΔT_high=T_cab-T_max. This step provides a quantitative evaluation of the current temperature state and provides necessary input for the decision logic module.

[0070] The decision logic module receives the ΔT_low and ΔT_high values ​​from the difference calculation unit. When ΔT_low>0 or ΔT_high<0, the decision logic module generates a heating request signal R_heat. This module is responsible for comprehensively evaluating multiple temperature differences to determine whether the heating operation needs to be started to ensure that the temperature in the battery cabinet is maintained within an appropriate range.

[0071] The priority judge receives the heating request signal R_heat from the decision logic module and checks whether there are other operation instructions O_opr. If there are no other operation instructions with higher priority, the heating request is allowed to pass and a confirmation signal A_conf is sent to the instruction generator. This step ensures that the heating operation will not conflict with other key operations and maintains the overall operation order of the system.

[0072] The thermal management system in this embodiment can not only efficiently respond to changes in environmental conditions, but also accurately control the temperature inside the battery cabinet to ensure that the battery always operates within the optimal temperature range, thereby improving battery performance and extending its service life.

[0073] In this embodiment, the analysis and processing center is coupled with a command generator. When it is determined that heating is required, the command generator sends an activation signal to a distributed heating element array. After each member of the heating element array receives the signal from the command generator, it triggers an energy conversion component connected thereto to convert electrical energy into thermal energy.

[0074] Furthermore, the instruction generator includes:

[0075] The signal preparation unit is used to receive the confirmation signal A_conf from the analysis and processing center and prepare the activation command C_cmd according to the signal; this step ensures that the activation command is generated only when the system confirms that heating is required, avoiding unnecessary heating operations and improving the response efficiency and energy utilization efficiency of the system.

[0076] The address distributor, connected to the signal preparation unit, is used to assign a unique address identifier ID_addr to each distributed heating element; in this way, each heating element can independently identify and respond to a specific activation command, ensuring the accuracy and targeting of the heating operation and avoiding interference between multiple elements.

[0077] The power setting module is connected to the address distributor and calculates the required heating power P_set according to the preset heating mode M_heat and the current ambient temperature T_env. The calculation formula is P_set = β*(T_target-T_env), where β is the proportional coefficient. This step dynamically adjusts the heating power to ensure that the heat provided meets actual needs, improves the heating efficiency and the accuracy of temperature control, and reduces energy waste.

[0078] The command transmitter receives the P_set value from the power setting module and the ID_addr information from the address distributor, and combines them into a complete activation signal S_actv. The command transmitter sends S_actv to the corresponding heating element. This step ensures that each heating element receives an accurate heating instruction that matches its address, realizing effective management and control of the distributed heating element array.

[0079] Further, the heating element array comprises:

[0080] The signal receiving port is used to receive the activation signal S_actv from the instruction generator, which includes the address identifier ID_addr and the set heating power P_set for a specific heating element; this step ensures that each heating element can accurately receive the heating instruction customized for it, thereby improving the pertinence and accuracy of the heating operation.

[0081] The verification module is connected to the signal receiving port to verify whether the ID_addr in the received S_actv matches its own address; through the verification mechanism, it ensures that only the target heating element responds to the activation signal, thereby enhancing the reliability and safety of the system and avoiding misoperation.

[0082] The current regulating unit receives the activation signal S_actv confirmed by the verification module, and adjusts the current I_adj supplied to the energy conversion component according to the P_set value therein. The current adjustment formula is I_adj=P_set / V_supply, where V_supply is the supply voltage. This step ensures that each heating element is heated according to the set power by accurately adjusting the current, thereby improving the heating efficiency and stability.

[0083] The energy conversion component is connected to the current regulation unit, receives the adjusted current I_adj, and converts it into heat energy Q_heat. The conversion relationship follows Joule's law, and the calculation formula is Q_heat=I_adj^2*R_heater*t, where R_heater is the heating resistance and t is the time. This step efficiently converts electrical energy into heat energy, ensuring a fast and stable heating process and meeting the temperature requirements in the battery cabinet.

[0084] Furthermore, the energy conversion component comprises:

[0085] The power receiving interface is used to receive the adjusted current I_adj from the current regulating unit; this interface serves as a current input point, ensuring that the current can be stably and safely transmitted to the subsequent heating element, supporting efficient energy conversion.

[0086] The resistance heating element is connected to the power receiving interface and converts the received current I_adj into heat energy Q_heat through the internal resistor R_heater. The conversion formula is Q_heat = I_adj^2*R_heater; this step realizes the efficient conversion from electrical energy to thermal energy, ensuring the working efficiency and reliability of the heating element.

[0087] The heat transfer interface is connected to the resistive heating element and is responsible for efficiently transferring the generated heat energy Q_heat to the heat conduction network. The transfer efficiency η_trans is calculated as η_trans=Q_delivered / Q_heat, where Q_delivered is the actual heat transferred to the heat conduction network. This step ensures the effective transfer of heat energy, reduces heat loss, and improves the heating efficiency of the entire system.

[0088] The temperature monitor is connected to the heat transfer interface to monitor the temperature change T_change in the heat transfer process in real time, and adjust the working state of the resistance heating element according to the temperature feedback. The adjustment formula is R_heater_adjusted = R_heater*(1+μ*T_change), where μ is the temperature sensitivity coefficient. Through real-time monitoring and feedback adjustment, accurate temperature control and system stability are ensured to prevent overheating or insufficient heating.

[0089] The instruction generator and heating element array in this embodiment can not only efficiently respond to heating requests, but also accurately control the working state of each heating element to ensure that the temperature in the battery cabinet is maintained within the optimal range. In addition, through real-time monitoring and feedback adjustment, the system can maintain stable heating performance in extremely low temperature environments, thereby improving the working efficiency and life of the battery.

[0090] In this embodiment, the energy conversion assembly is connected to a heat conduction network, and the heat conduction network is connected to a dynamic adjustment device, and the dynamic adjustment device automatically optimizes the heat distribution according to the temperature difference in the battery cabinet;

[0091] Furthermore, the heat conduction network includes:

[0092] The heat receiving interface is used to directly receive the thermal energy Q_heat generated by the energy conversion component and initially homogenize it; this step ensures the uniform distribution of the initial heat, provides a basis for subsequent precise heat transfer, and reduces the possibility of local overheating or insufficient heating.

[0093] The thermal medium distributor is connected to the heat receiving interface. According to the internal structure of the battery cabinet and the preset heat distribution mode D_mode, the heat energy is transferred through different paths. The distributor ensures that the heat flow F_path on each path matches the requirements of the required position. The calculation formula is F_path = Q_heat / N_paths, where N_paths is the number of heat conduction paths. This step realizes the reasonable distribution of heat, ensures that each position can receive the required heat, and improves the overall heating efficiency and uniformity.

[0094] The multi-layer heat conducting plate receives the heat flow F_path from the heat conducting medium distributor. The multi-layer heat conducting plate is composed of several layers of high-efficiency heat conducting materials. There is optimized contact between each layer to minimize the thermal resistance R_contact. The thermal resistance calculation formula is R_contact = δ / (k*A), where δ is the interlayer contact thickness, k is the thermal conductivity, and A is the contact area. This step minimizes heat loss through multiple layers of high-efficiency heat conducting materials and optimized contact design, ensuring that heat is quickly and evenly transferred to the entire battery cabinet, thereby improving the thermal conduction efficiency of the system.

[0095] The temperature balance controller is connected to the multi-layer heat conduction plate to monitor and adjust the temperature difference ΔT_layer between each layer. The controller adjusts the working state of the heat conduction plate according to the real-time temperature feedback so that ΔT_layer≤T_tolerance, where T_tolerance is the set temperature tolerance. This step ensures the consistency and stability of the temperature in the battery cabinet, avoids the degradation or damage of battery performance due to uneven temperature, and improves the working efficiency and life of the battery.

[0096] Furthermore, the dynamic adjustment device comprises:

[0097] The temperature difference detector is used to monitor the temperature T_pos at different positions in the battery cabinet in real time and calculate the temperature difference ΔT_pos between each position. The calculation formula is ΔT_pos = |T_pos(i)-T_pos_avg|, where T_pos(i) is the actual temperature of a certain position and T_pos_avg is the average temperature of all positions. This step provides accurate monitoring of the temperature distribution in the battery cabinet, provides data support for subsequent heat distribution optimization, and ensures that the system can respond to temperature changes in a timely manner.

[0098] The heat demand evaluator is connected to the temperature difference detector and evaluates the additional heat Q_add required for each position based on ΔT_pos. The evaluation formula is Q_add(i)=γ*ΔT_pos(i), where γ is the heat compensation coefficient. This step determines the specific heat demand of each position through quantitative evaluation of the temperature difference, ensures the targetedness and effectiveness of the heating operation, and avoids unnecessary energy waste.

[0099] The allocation optimization controller receives the Q_add data from the heat demand evaluator and optimizes the heat flow F_opt on each heat conduction path according to the current heat distribution. The optimization formula is F_opt(path)=F_path+Q_add(i) / N_paths_connected, where N_paths_connected is the number of heat conduction paths connected to the location. This step ensures that each location obtains sufficient heat and maintains temperature consistency in the battery cabinet by dynamically adjusting the heat flow distribution, thereby improving the heating efficiency and temperature control accuracy.

[0100] The feedback adjustment unit is connected to the distribution optimization controller, continuously monitors the adjusted temperature changes and makes fine adjustments to ensure that the final temperature difference ΔT_final remains within the set tolerance range. The adjustment formula is ΔT_final = ΔT_pos-η*(Q_add(i) / C_thermal), where η is the efficiency factor and C_thermal is the thermal capacity. This step ensures that the system can maintain temperature stability during operation through real-time feedback and fine-tuning mechanisms, enhances the reliability and adaptability of the system, and prevents temperature fluctuations from affecting battery performance.

[0101] The heat conduction network and dynamic adjustment device in this embodiment can not only efficiently transfer and distribute heat, but also automatically optimize heat distribution according to the temperature difference in the battery cabinet. Specifically:

[0102] The heat conduction network ensures the initial uniformity and efficient transfer of heat. The design of multi-layer heat conductive plates and the monitoring of the temperature balance controller maintain the consistency and stability of the temperature inside the battery cabinet.

[0103] The dynamic adjustment device ensures that each location receives the required heat by real-time monitoring, evaluation and optimization of heat distribution, while maintaining precise temperature control through a feedback regulation mechanism, thereby improving the reliability and adaptability of the system.

[0104] In this embodiment, the above-mentioned dynamic adjustment device also interacts with a feedback monitoring station to continuously monitor the temperature and adjust the heating intensity in a timely manner. The feedback monitoring station forms a closed loop with the initial sensing unit to ensure the stable operation and management of the entire system.

[0105] Furthermore, the feedback monitoring station includes:

[0106] The temperature data collector is used to continuously collect the real-time temperature T_real of multiple locations in the battery cabinet; this step ensures real-time monitoring of temperature changes in the battery cabinet, provides accurate temperature data, and supports subsequent modules to make accurate heating adjustments.

[0107] The comparison and analysis unit is connected to the temperature data collector, compares the received real-time temperature T_real with the preset target temperature T_target, and calculates the temperature deviation ΔT_dev. The calculation formula is ΔT_dev=T_real-T_target; this step provides the necessary input for the intensity regulation controller by quantifying the temperature deviation, ensuring that the system can make accurate heating adjustments based on the actual temperature difference.

[0108] The intensity regulation controller receives the ΔT_dev value from the comparison and analysis unit, and adjusts the working intensity P_adj of the heating element according to the temperature deviation. The adjustment formula is P_adj=P_base+κ*ΔT_dev, where P_base is the benchmark heating power and κ is the adjustment coefficient. This step dynamically adjusts the heating intensity to ensure that the heat provided meets the actual needs, improves the system's response speed and temperature control accuracy, and avoids overheating or insufficient heating.

[0109] The execution instruction generator is connected to the intensity adjustment controller, generates a new heating instruction I_new based on the adjusted heating power P_adj, and sends it back to the dynamic adjustment device to update the heat distribution. The instruction generation formula is I_new = f(P_adj), where f represents the mapping function from power to instruction. This step ensures the timely update and transmission of the heating instruction, enabling the dynamic adjustment device to optimize the heat distribution according to the latest temperature requirements, improving the flexibility and adaptability of the system.

[0110] The feedback monitoring station forms a closed loop with the initial sensing unit to ensure the stable operation and management of the entire system, including:

[0111] The temperature verification interface is used to receive the real-time temperature data T_real from the feedback monitoring station and compare it with the ambient temperature T_env initially obtained by the sensing unit; this step ensures the consistency of the data from the feedback monitoring station with the data from the initial sensing unit, enhances the reliability and accuracy of the system, and avoids misoperation caused by inconsistent data.

[0112] The deviation calculation unit is connected to the temperature verification interface and calculates the new deviation ΔT_new between the real-time temperature T_real and the preset target temperature T_target. The calculation formula is ΔT_new = T_real-T_target. This step provides the necessary input for the cycle adjustment controller through quantitative evaluation of the deviation between the new and old temperatures, ensuring that the system can make accurate adjustments based on the latest temperature changes.

[0113] The cyclic adjustment controller receives the new deviation ΔT_new from the deviation calculation unit, combines it with the old deviation ΔT_old recorded previously, and calculates the correction coefficient C_corr. The correction formula is C_corr = (ΔT_new-ΔT_old) / ΔT_old. This step ensures that the system can be optimized and adjusted according to the temperature change trend by dynamically adjusting the correction coefficient, thereby improving the stability and response speed of the system.

[0114] The instruction update module is connected to the loop adjustment controller, and updates the initial parameter setting P_set of the sensing unit according to the correction coefficient C_corr. The update formula is P_set_updated = P_set*(1+C_corr), and sends the updated parameters back to the sensing unit to complete the closed-loop control. This step realizes the dynamic update of the sensing unit parameters, ensuring that the entire system can maintain the best working state during operation, and enhancing the system's adaptive ability and stability.

[0115] Through the above design, the feedback monitoring station in this embodiment can not only continuously monitor the temperature changes in the battery cabinet and adjust the heating intensity in a timely manner, but also form a closed-loop control system with the initial sensing unit to ensure the stable operation and efficient management of the entire system. Specifically:

[0116] The feedback monitoring station ensures the accuracy and effectiveness of the heating operation through real-time temperature data collection, deviation calculation and heating intensity adjustment, and improves the system's response speed and temperature control accuracy.

[0117] The closed-loop control system achieves self-adjustment and optimization of the system through temperature verification, deviation calculation and parameter update, enhances the stability and adaptability of the system, and ensures that the temperature in the battery cabinet is always kept within the optimal range.

[0118] These innovative designs significantly improve the effectiveness and reliability of temperature management in battery cabinets under extremely low temperature conditions, ensuring the optimal working condition of the batteries and extending their service life.

[0119] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. 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. A thermal management system capable of regulating the temperature inside a split battery cabinet, characterized in that: include: a sensing unit activated in response to changes in environmental conditions, the sensing unit being connected to an analysis and processing center which evaluates whether to activate a heating operation based on data provided by the sensing unit; The analysis and processing center is coupled with a command generator. When it is determined that heating is required, the command generator sends an activation signal to a distributed heating element array. After each member of the heating element array receives the signal from the command generator, it triggers an energy conversion component connected thereto to convert electrical energy into thermal energy. The energy conversion assembly is connected to a heat conduction network, which is connected to a dynamic adjustment device, which automatically optimizes heat distribution according to temperature differences in the battery cabinet; The dynamic adjustment device also interacts with a feedback monitoring station to continuously monitor the temperature and adjust the heating intensity in a timely manner. The feedback monitoring station forms a closed loop with the initial sensing unit to ensure the stable operation and management of the entire system.

2. A thermal management system capable of regulating the temperature inside a split battery cabinet according to claim 1, characterized in that: The sensing unit comprises: Environmental parameter detector, used to obtain the ambient temperature T_env; A comparison component, used for receiving a temperature value T_env from an environmental parameter detector and comparing it with a preset low temperature threshold T_min, and generating an activation signal S_act if T_env is less than T_min; The time delay controller, after receiving the activation signal S_act from the comparison component, delays the output of the control signal C_ctrl to the subsequent module according to a preset time interval Δt; After receiving the control signal C_ctrl from the time delay controller, the intensity regulator calculates the heating power P_heat to be provided, through the formula P_heat = α*(T_target-T_env), where α is the proportionality coefficient and T_target is the target maintenance temperature.

3. A thermal management system capable of regulating the temperature inside a split battery cabinet according to claim 2, characterized in that: The analysis and processing center comprises: A data receiving interface, used to receive data D_sense from the sensing unit, including but not limited to the ambient temperature T_env and the temperature inside the battery cabinet T_cab; A difference calculation unit connected to the data receiving interface, used to calculate the difference ΔT_low between T_env and a preset lower limit of the operating temperature T_min, and to calculate the difference ΔT_high between T_cab and a preset upper limit of the operating temperature T_max, wherein the calculation formulas are ΔT_low=T_min-T_env and ΔT_high=T_cab-T_max; A decision logic module receives the ΔT_low and ΔT_high values ​​from the difference calculation unit, and when ΔT_low>0 or ΔT_high<0, the decision logic module generates a heating request signal R_heat; The priority judge receives the heating request signal R_heat from the decision logic module and checks whether there are other operation instructions O_opr. If there are no other operation instructions with higher priority, the heating request is allowed to pass and a confirmation signal A_conf is sent to the instruction generator.

4. A thermal management system capable of regulating the temperature inside a split battery cabinet according to claim 3, characterized in that: The instruction generator comprises: A signal preparation unit, used for receiving a confirmation signal A_conf from the analysis and processing center, and preparing an activation command C_cmd according to the signal; An address distributor, connected to the signal preparation unit, for distributing a unique address identifier ID_addr to each distributed heating element; The power setting module is connected to the address distributor, and calculates the required heating power P_set according to the preset heating mode M_heat and the current ambient temperature T_env. The calculation formula is P_set=β*(T_target-T_env), where β is the proportionality coefficient; The command transmitter receives the P_set value from the power setting module and the ID_addr information from the address distributor, and combines them into a complete activation signal S_actv. The command transmitter sends S_actv to the corresponding heating element.

5. A thermal management system capable of regulating the temperature inside a split battery cabinet according to claim 4, characterized in that: The heating element array comprises: A signal receiving port, used to receive an activation signal S_actv from a command generator, the signal including an address identifier ID_addr for a specific heating element and a set heating power P_set; Verification module, connected to the signal receiving port, verifies whether the ID_addr in the received S_actv matches its own address; The current regulating unit receives the activation signal S_actv confirmed by the verification module, and adjusts the current I_adj supplied to the energy conversion component according to the P_set value therein, and the current adjustment formula is I_adj=P_set / V_supply, where V_supply is the supply voltage; The energy conversion component is connected to the current regulating unit, receives the adjusted current I_adj, and converts it into heat energy Q_heat. The conversion relationship follows Joule's law, and the calculation formula is Q_heat=I_adj^2*R_heater*t, where R_heater is the heating resistance and t is the time.

6. A thermal management system capable of regulating the temperature inside a split battery cabinet according to claim 5, characterized in that: The energy conversion component comprises: An electric energy receiving interface, used for receiving an adjusted current I_adj from a current regulating unit; The resistance heating element is connected to the power receiving interface and converts the received current I_adj into heat energy Q_heat through the internal resistor R_heater. The conversion formula is Q_heat = I_adj^2*R_heater; The heat transfer interface is connected to the resistance heating element and is responsible for efficiently transferring the generated heat energy Q_heat to the heat conduction network. The transfer efficiency η_trans is calculated as η_trans=Q_delivered / Q_heat, where Q_delivered is the actual heat transferred to the heat conduction network. The temperature monitor is connected to the heat transfer interface to monitor the temperature change T_change during the transfer process in real time, and adjust the working state of the resistance heating element according to the temperature feedback. The adjustment formula is R_heater_adjusted = R_heater*(1+μ*T_change), where μ is the temperature sensitivity coefficient.

7. A thermal management system capable of regulating the temperature in a split battery cabinet according to claim 6, characterized in that: The heat conduction network comprises: The heat receiving interface is used to directly receive the heat energy Q_heat generated by the energy conversion component and initially homogenize it; The heat transfer medium distributor is connected to the heat receiving interface. According to the internal structure of the battery cabinet and the preset heat distribution mode D_mode, the heat energy is transferred through different paths. The distributor ensures that the heat flow F_path on each path matches the demand of the required location. The calculation formula is F_path = Q_heat / N_paths, where N_paths is the number of heat conduction paths; The multi-layer heat conducting plate receives the heat flow F_path from the heat conducting medium distributor. The multi-layer heat conducting plate is composed of several layers of high-efficiency heat conducting materials. There is an optimized contact between each layer to minimize the thermal resistance R_contact. The thermal resistance calculation formula is R_contact = δ / (k*A), where δ is the interlayer contact thickness, k is the thermal conductivity, and A is the contact area; The temperature balance controller is connected to the multi-layer heat conduction plate to monitor and adjust the temperature difference ΔT_layer between each layer. The controller adjusts the working state of the heat conduction plate according to the real-time temperature feedback so that ΔT_layer≤T_tolerance, where T_tolerance is the set temperature tolerance.

8. A thermal management system capable of regulating the temperature in a split battery cabinet according to claim 7, characterized in that: The dynamic adjustment device comprises: The temperature difference detector is used to monitor the temperature T_pos at different positions in the battery cabinet in real time and calculate the temperature difference ΔT_pos between the positions. The calculation formula is ΔT_pos=|T_pos(i)-T_pos_avg|, where T_pos(i) is the actual temperature of a certain position and T_pos_avg is the average temperature of all positions; A heat demand estimator, connected to the temperature difference detector, estimates the additional heat Q_add required for each position based on ΔT_pos, and the evaluation formula is Q_add(i)=γ*ΔT_pos(i), where γ is a heat compensation coefficient; The allocation optimization controller receives the Q_add data from the heat demand evaluator and optimizes the heat flow F_opt on each heat conduction path according to the current heat distribution. The optimization formula is F_opt(path)=F_path+Q_add(i) / N_paths_connected, where N_paths_connected is the number of heat conduction paths connected to the location; The feedback regulation unit is connected to the distribution optimization controller, continuously monitors the adjusted temperature changes and makes fine adjustments to ensure that the final temperature difference ΔT_final remains within the set tolerance range. The regulation formula is ΔT_final = ΔT_pos-η*(Q_add(i) / C_thermal), where η is the efficiency factor and C_thermal is the thermal capacity.

9. A thermal management system capable of regulating the temperature in a split battery cabinet according to claim 8, characterized in that: The feedback monitoring station comprises: Temperature data collector, used to continuously collect the real-time temperature T_real at multiple locations in the battery cabinet; The comparison and analysis unit is connected to the temperature data collector, compares the received real-time temperature T_real with the preset target temperature T_target, and calculates the temperature deviation ΔT_dev, and the calculation formula is ΔT_dev=T_real-T_target; The intensity adjustment controller receives the ΔT_dev value from the comparison and analysis unit, and adjusts the working intensity P_adj of the heating element according to the temperature deviation. The adjustment formula is P_adj=P_base+κ*ΔT_dev, where P_base is the base heating power and κ is the adjustment coefficient; The execution instruction generator is connected to the intensity adjustment controller, generates a new heating instruction I_new based on the adjusted heating power P_adj, and sends it back to the dynamic adjustment device to update the heat distribution. The instruction generation formula is I_new = f(P_adj), where f represents the mapping function from power to instruction.

10. A thermal management system capable of regulating the temperature in a split battery cabinet according to claim 9, characterized in that: The feedback monitoring station forms a closed loop with the initial sensing unit to ensure the stable operation and management of the entire system, including: Temperature verification interface, used to receive real-time temperature data T_real from the feedback monitoring station and compare it with the ambient temperature T_env initially obtained by the sensing unit; The deviation calculation unit is connected to the temperature verification interface and calculates a new deviation ΔT_new between the real-time temperature T_real and the preset target temperature T_target, and the calculation formula is ΔT_new=T_real-T_target; The cyclic adjustment controller receives the new deviation ΔT_new from the deviation calculation unit, combines it with the old deviation ΔT_old recorded before, and calculates the correction coefficient C_corr. The correction formula is C_corr = (ΔT_new-ΔT_old) / ΔT_old; The instruction update module is connected to the loop adjustment controller, updates the initial parameter setting P_set of the sensing unit according to the correction coefficient C_corr, and the update formula is P_set_updated=P_set*(1+C_corr), and sends the updated parameters back to the sensing unit to complete the closed-loop control.

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