A system for predicting a model for operating an active glazing and a method thereof
The system addresses inefficiencies and flicker issues in PDLC active glazing by using a predictive model based on static and dynamic data to optimize voltage application, resulting in improved energy efficiency and reduced flicker.
Patent Information
- Application Number
- PCT/IN2024/052403
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-12-22
- Filing Date
- 2024-12-20
- Publication Date
- 2025-06-26
AI Technical Summary
Conventional control methods for polymer-dispersed liquid crystal (PDLC) based active glazing are inefficient, non-adaptive, and result in sporadic flicker issues due to the inability to accurately model and adjust to changes in the PDLC assembly over its operating life.
A system and method for predicting a model for operating PDLC based active glazing, which includes a laminated glass with a PDLC assembly and a control unit that estimates the model based on static and dynamic data. The system uses sensors to measure electrical parameters, an inverter unit to control the PDLC assembly, and a pulse width modulation unit to supply power, allowing for real-time adaptation and optimization of the PDLC model.
The solution improves the efficiency and adaptability of PDLC control, reducing energy consumption, minimizing flicker issues, and extending the lifespan of control unit components by applying the exact voltage required for optimal operation, thus optimizing energy use and reducing carbon footprint.
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Figure IN2024052403_26062025_PF_FP_ABST
Abstract
Description
[0001] A SYSTEM FOR PREDICTING A MODEL FOR OPERATING AN ACTIVE GLAZING AND A METHOD THEREOF
[0002] TECHNICAL FIELD
[0003] The present disclosure relates to an active glazing including a switchable automotive glazing in general. Particularly, it relates to a solution for controlling polymer- dispersed liquid crystals (PDLC) based automotive glazing.
[0004] BACKGROUND
[0005] Background description includes information that may be useful in understanding the present disclosure. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed disclosure, or that any publication specifically or implicitly referenced is prior art.
[0006] It is known to one skilled in the art that glazing refers to any and all the glass or similar material within a structure or the installation of any piece of glass or the similar material within a sash or frame. The glass windows of an automobile are referred to as glazing. For laminated glazing, two or more layers of glass or a similar material, are fused together with an interlayer in the middle. The fusion is completed with pressure and heat, and it prevents the sheets of glass or the similar material from breaking. While some pieces of glass or the similar material might end up breaking into larger pieces, those pieces will stay together with the help of the interlayer, making it shatterproof. Windshield or windscreen, backlite, sidelite, quaterlite, sunroof etc., are regarded as some instances of glazing in a vehicle.
[0007] It is known that Polymer Dispersed Liquid Crystal (PDLC) based glazing are a type of smart glazing that includes a film which enables the transparency of the glazing in response to an electrical impulse or a voltage. When no voltage is supplied to the PDLC based glazing the liquid crystals are randomly arranged, and thus scattering the light as it permeates the screen. This results in an opaque appearance with haze and whenever, a voltage is applied, an electrical field is created between the connectors of the film causing the liquid crystals to align, thereby allowing light to pass through consequently turning the screen transparent. Such a PDLC film could be integrated in an automotive glazing (having laminated glass) to provide active glazing or active sunroof. These PDLC based glazing (like an active sunroof) switches from opaque or to transparent (tinted or non-tinted) in a very sophisticated manner, modulating light ambience and increasing comfort for the passengers in the vehicle.
[0008] The PDLC assembly of such glazing will have different models (such as and not limited to analogous- electrical model). It would be known to one skilled in the art that a model is a mathematical description or electrical equivalent circuit that represents the behaviour of a device or system. Such models for operating even may change gradually over operating life as its optical performance of the PDLC assembly deteriorate over a period.
[0009] For a given PDLC, with the conventional means of controlling, PDLC is not tuned to be efficient with respect to actual model and is not adaptive over its operation. Power consumption in operating a PDLC assembly in a glazing in present control manner is not efficient and it results in sporadic flicker issue in PDLC. This not desirable to have.
[0010] Reference is made KR102177914B1 relates to a bidirectional feedback circuit device for an inverter output for a polymer dispersed liquid crystal (PDLC) driving power, capable of a bidirectional output voltage control. The bidirectional feedback circuit device for the inverter output for the PDLC driving power includes an SMPS driver unit for outputting the driving power for driving a PDLC, an output unit for supplying the driving power to the PDLC and a bidirectional feedback circuit unit connected between the SMPS driver unit and the output unit to detect the driving power applied to the output unit and provide the detected driving power as feedback for driving the SMPS driver unit. However, this solution cannot adapt to the change in the PDLC model.
[0011] Another reference is made to US11325352 which discloses an electrical characteristic of a privacy glazing structure and is indicative of a health of the privacy glazing structure that can be measured at a first time and at a second time later than the first time. In response to detecting a change in the electrical characteristic indicating a change in the health of the privacy glazing structure, one or more parameters of an electrical drive signal can be adjusted to compensate for the change in the health of the privacy glazing structure. The electrical characteristic can be measured at a plurality of times after the second time and compared to the electrical characteristic measured at the first time. If, at any of the plurality of times, the measured electrical characteristic differs from the electrical characteristic measured at the first time by more than a threshold amount, one or more parameters of the electrical drive signal can be adjusted. This solution is a closed loop system, and it requires effective sampling period for the system and the sampling period is fixed initially. This sampling period becomes irrelevant as the privacy glazing film response deteriorate over the period and can observe the performance lag over the period.
[0012] Yet another reference is made US11047171B2 that discloses an easily operable dimming device which includes a dimming element operable to control the transmittance thereof for light, and a first notification device operable to make a notification of a piece of information on a change in transmittance of the dimming section. This solution focuses on estimating time taken for the required transmittance for the applied current to the EC element and material constituents of EC may be considered. When the measured time has reached estimated period, the driving voltage to EC element is controlled or notified for due course of action. The time-based model disclosed in this solution will be effective in the early installation phase, however, over the period tuning becomes inefficient.
[0013] Further known in the art are solutions where the electrical parameters are measured at different states to control the glazing structures whereas measurements for transient states are not considered. There are known solutions that are directed at the prediction model being used to estimate the internal temperature and external luminosity to control the transparency of vehicle glazing. Another means of controlling a PDLC based glazing includes controlling the rate of change of current at different states are measured for applied voltage during self-inspection phase and stored in controller. Such measurements are not real time for fine tuning control which is required for the vehicle glazing which deteriorates over the period. Although the prior art solutions are easy to design, they are however, not efficient. It has been noticed that PDLC model may change gradually over operating life of the PDLC assembly as the optical performance of PDLC assembly deteriorate over a period. The conventional means of controlling a PDLC model is not tuned to be efficient with respect to actual model for given PDLC and as indicated it is not adaptive over its operation. The power consumption in conventional control means is inefficient and it has sporadic flicker issues.
[0014] Thus, insofar, it has been noticed that there is a dire requirement of an improved means for controlling a PDLC based active glazing that is efficient, adaptive and eradicates flicker issues in PDLC assemblies of such glazing.
[0015] SUMMARY OF THE DISCLOSURE
[0016] An object of the present invention is to provide a solution for overcoming the drawbacks of the prior art solutions. Another object of the present invention is to provide an adaptive solution for controlling a PDLC based glazing.
[0017] Yet another object of the present invention is to provide an effective solution for controlling a PDCL based glazing.
[0018] Still another object of the present invention is to provide a solution for controlling a PDCL based glazing mitigating the issues of sporadic flickering.
[0019] These and other objects of the invention are achieved by the following aspects of the invention. The following disclosure presents a simplified summary of the invention in order to provide a basic understanding of some aspects of the invention. This presents some concept of the invention in a simplified form to a more detailed description of the invention presented later. It is a comprehensive summary of the disclosure, and it is not an extensive overview of the present invention. The intend of this summary is to provide a fundamental understanding of some of the aspects of the present invention. In an aspect of the present invention, a system for predicting a model for operating an active glazing for automobiles. Said system comprises a laminated glass having a first substrate a of glass or polymer, a second substrate b of glass or polymer and one or more interlayers and an electrically switchable polymer dispersed liquid crystals PDLC assembly disposed between said first and second substrates. It has a first control unit operably configured with the PDLC assembly to identify a model for operating said PDLC assembly. Said first control unit is configured to estimate the model for operating said PDLC assembly based on static and dynamic data of the PDLC assembly. Said static data comprises the power loss obtained at an operating point of the assembly and dynamic data comprises on a set of characteristics of the PDLC assembly. The system comprises one or more sensors configured to measure the electrical parameters at an input point of the PDLC assembly. Said one or more sensors are further configured to provide the measured electrical parameters as feedback to the first control unit. The system comprises an inverter unit configured to control the PDLC assembly throughout the operation cycle of the PDLC assembly. The first control unit is configured to calculate an initial model for operating based on static data. The first control unit is further configured to obtain another model for operating based on dynamic data at its next instance of operation. The first control unit is configured to compare an estimated output and a measured output and the difference between said estimated output and measured output is used to improve model for operating the PDLC assembly at the next instance of operating. The first control unit is configured to improve the model for operating the PDLC assembly by calculating a capacitance factor and a resistance factors for next instance of based on:
[0020] P = P + r. function Estimated output — measured output
[0021] Q = Q + r. function Estimated output — measured output wherein,
[0022] P: capacitance factor at instance t
[0023] P: capacitance factor at instance t
[0024] Q: resistance factor at instance t
[0025] Q: resistance factor at instance t r: a constant or a conversion factor. The system comprises a pulse width modulation unit and an inverter unit operably configured to supply power to the PDLC assembly. The PDLC assembly is a segmented structure. The system comprises an inverter unit configured to control each segment of the PDLC assembly independently throughout the operation cycle of the PDLC assembly. The first control unit is configured to identify a separate model for operating in key intervals or instances of time during the operation of the PDLC assembly. The first control unit is configured to check whether an estimated output at the operating point is optimal and said first control unit is further configured to continuously check a state of the model for operating with static and / or dynamic data for further improving said model for operating. The system comprises means for compensating residual energy stored in a capacitive element of the PDLC assembly. The first control unit is configured to identify a change in the model for operation using a measurement signature, an input applied, measured data and signal flow for a closed loop-based control. The nature of variation in the measured data indicates the measurement signature of the electrical characteristics of the functioning of the PDLC assembly and said measured data refers to output power. The first control unit is configured to calculate an initial control parameter from pre-determined static data, and said pre-determined static data being physical and electrical characteristics of the PDLC assembly. Said first control unit is operably configured with a second control unit and are engaged in a secure bi-directional communication and wherein said second control unit is a vehicle electronic control unit.
[0026] In another aspect of the present invention, a method for predicting a model for operating an electrically switchable polymer dispersed liquid crystals PDLC based active glazing for automobiles. Said method comprises the steps of obtaining by a control unit, an initial control gain from a pre-fed data set. The method comprises estimating performance of the PDLC based active glazing, checking, if the estimated performance is optimal, correcting the model for operation using the error between a present model output and a measured model, estimating an analytical model and PDLC plant model using switching ON / OFF transient response and step improving the model for operating PDLC assembly using the error between present model output and measurements.
[0027] The significant features of the present invention and the advantages of the same will be apparent to a person skilled in the art from the detailed description that follows in conjunction with the annexed drawings.
[0028] BRIEF DESCRIPTION OF THE DRAWINGS
[0029] The following briefly describes the accompanying drawings, illustrating the technical solution of the embodiments of the present invention or the prior art, for assisting the understanding of a person skilled in the art to comprehend the invention. It would be apparent that the accompanying drawings in the following description merely show some embodiments of the present invention, and persons skilled in the art can derive other drawings from the accompanying drawings without deviating from the scope of the disclosure.
[0030] FIG. 1 illustrates a laminated glazing with PDLC as per what is known in art.
[0031] FIG. 2 illustrates a simple block diagram of the system according to an embodiment of the present invention.
[0032] FIG. 3 illustrates a detailed block diagram of the system according to an embodiment of the present invention.
[0033] FIG. 4 illustrates another block diagram of the system in a vehicle according to an embodiment of the present invention.
[0034] FIG. 5 illustrates PDLC response graph according to an embodiment of the present invention.
[0035] FIG. 6 illustrates a block diagram of the method according to an embodiment of the present invention.
[0036] FIGs. 7A-7C illustrate the different PDLC state (parameters) according to an embodiment of the present invention.
[0037] Persons skilled in the art will appreciate that elements in the figures are illustrated for simplicity and clarity and have not necessarily been drawn to scale. For example, the dimensions of some of the elements in the figures may be exaggerated relative to other elements to help to improve understanding of embodiments of the disclosure.
[0038] DETAILED DESCRIPTION
[0039] The present disclosure is now discussed in more detail referring to the drawings that accompany the present application. It would be appreciated by a skilled person that this description to assist the understanding of the invention, but these are to be regarded as merely exemplary.
[0040] The terms and words used in the following description are not limited to the bibliographical meanings and the same are used to enable a clear and consistent understanding of the invention. Accordingly, the terms / phrases are to be read in the context of the disclosure and not in isolation. Additionally, descriptions of well-known functions and constructions are omitted for clarity and conciseness.
[0041] In the one or more embodiments of the present invention is disclosed a predictive model for operating a PDLC assembly in an active glazing. Instead of applying the voltage irrespective of responses from PDLC model as is the case of the prior art solution, in the disclosed invention, the voltage applied is derived based on the PDLC model, initially from a static set of data, and then from electrical characteristics of PDLC during operation. The real time PDLC model is proposed to be estimated during its operation. In this solution, the current (output) sample is measured for each sample voltage applied at the output of the inverter to estimate the relationship in analytical form. This model estimate is improved for every time of operation.
[0042] In an embodiment of the present invention is disclosed a system (100) for predicting a model for operating an active glazing for automobiles as depicted in FIG. 2. Said system comprises a laminated glass (101) having an active functional element. Such laminated glass being used for glazing is known in the art and one instance is shown in FIG. 1. Said laminated glass includes a first substrate (101a) of glass or polymer, a second substrate (101b) of glass or polymer and one or more interlayers (101c, lOld). Such a laminated glass may further include an electrically switchable polymer dispersed liquid crystals (PDLC) assembly (102) disposed between said first and second substrates (101a, 101b). It further includes a first control unit (103) operably configured with the PDLC assembly (102) to identify a model for operating said PDLC assembly (102).
[0043] In this embodiment of the present invention, said first control unit (103) is configured to estimate the model for operating said PDLC assembly (102) based on static and dynamic data of the PDLC assembly. These static data comprise the power loss obtained at an operating point of the assembly and dynamic data comprises on a set of characteristics of the PDLC assembly (103). In an implementation of the present invention, instead of applying the voltage irrespective of whatever is the response from the existent PDLC model, as per the present embodiment, the voltage applied is derived based on the PDLC model. In this implementation, said model is initially obtained from datasheet. This datasheet contains the physical and electrical characteristics.
[0044] In an implementation of the present invention, the real time PDLC model is proposed to be estimated during its operation. The output current sample is measured for each voltage sample applied at the output of the inverter and estimate the relationship in analytical form. The first control unit (103) is configured to estimate the model for further improvement for every sample of operation. However, this model estimate is generally effective around start time, and stop time. In a reference model, which is drawn initially from datasheet, the first control unit (103) is configured to compare between a newly estimated model and to decide whether to improve. In an embodiment of the present invention, the first control unit (103) is configured to predict the model for operating the PDLC assembly of the active glazing. In this embodiment, the first control unit (103) is configured to compare the calculated model with the estimated model. If an error or difference between is above a pre-determined value, the first control unit (103) is configured to improve the reference model. The first control unit (103) is configured to use the improved reference model to derive appropriate control parameters. In an implementation, it may be used to obtain the PI (Proportional and Integral) controller parameters for the PI controller. The first control unit (103) is configured to use said parameters to calculate what would be exact input voltage required to get the desired response.
[0045] Reference is made to FIG. 3 that provides a detailed diagram on the architecture of the system. The comprises one or more sensors (105) configured to measure the electrical parameters at an input point of the PDLC assembly (103). Said one or more sensors (105) are further configured to provide the measured electrical parameters as feedback to the first control unit (103). An instance of such sensor may be current sensing unit or Hall effect current sensor, for instance, however, not limited to this. The system comprises an inverter unit (106) configured to control the PDLC assembly (102) throughout the operation cycle of the PDLC assembly (102). The system (100) comprises a pulse width modulation unit (107) and an inverter unit (106) operably configured to supply power to the PDLC assembly (102).
[0046] In an embodiment of the present invention, the first control unit (103) is configured to calculate an initial model for operating based on static data. The first control unit (103) is further configured to obtain another model for operating based on dynamic data at its next instance of operation. The first control unit (103) is configured to compare an estimated output and a measured output. The difference between said estimated output and measured output is used to improve model for operating the PDLC assembly (102) at the next instance of operating. The first control unit (103) is configured to improve the model for operating the PDLC assembly by calculating a capacitance factor and a resistance factors for next instance of based on:
[0047] Pl = PO + rl. function (^Estimated output — measured output) QI = QO + rl. function (Estimated output — measured output) in which,
[0048] Pl : capacitance factor at instance tl PO: capacitance factor at instance tO QI : resistance factor at instance tl QO: resistance factor at instance tO rl : a constant or a conversion factor The first control unit (103) is configured to identify a separate model for operating in key intervals or instances of time during the operation of the PDLC assembly (102). Herein, the key intervals or instances indicates any intervals or instances between a start and a stop as indicated in FIG. 5. So, the PDLC response is not only taken at the start and stop of the iteration of operation, but also at instances such as tl, t2.
[0049] In an embodiment of the present invention, the PDLC assembly (102) is a segmented structure. The system (100) comprises an inverter unit (106) configured to control each segment of the PDLC assembly (102) independently throughout the operation cycle of the PDLC assembly (102). The first control unit (103) is configured to identify a separate model for operating in key intervals or instances of time during the operation of the PDLC assembly (102). The first control unit (103) is configured to check whether an estimated output at the operating point is optimal. Said first control unit (104) is further configured to continuously check a state of the model for operating with static and / or dynamic data for further improving said model for operating. The system (100) comprises means for compensating residual energy stored in a capacitive element of the PDLC assembly. Such a means may be a bleeder circuit, however not limited to this. In an embodiment of the present invention, the first control unit (103) is configured to identify a change in the model for operation using a measurement signature, an input applied, measured data and signal flow for a closed loop-based control. The nature of variation in the measured data indicates the measurement signature of the electrical characteristics of the functioning of the PDLC assembly and said measured data refers to output power. The signal flow is it getting measured at various instance. The sensors are disposed at various instances on PDLC assembly. The disclosed system (100) preferably works only for closed loop. The first control unit (103) is configured to calculate initial control parameters from pre-determined static data. Said predetermined static data being physical and electrical characteristics of the PDLC assembly (102).
[0050] In an embodiment of the present invention, the system may have PDLC assembly is a segmented structure. In such cases, the system comprises an inverter unit (106) configured to control each segment of the PDLC assembly (102) independently throughout the operation cycle of the PDLC assembly (102). As the PDLC has more than one module in the system, the inverter control is independent to make sure transparency level is controlled independently, therefore model prediction of each model shall be estimated independently. The method of prediction of PDLC is further elaborated with signal flow FIG. 3.
[0051] In an embodiment of the present invention is provided a system architecture that shows the system as configured in a vehicle as depicted in FIG. 4. As shown in FIG. 4, the first control unit (103) is operably configured with a second control unit (109) and are engaged in a secure bi-directional communication. In an implementation said second control unit is a vehicle electronic control unit (ECU) and the first control unit is an electronic control unit, such that said electronic control unit functions as slave and vehicle electronic control unit functions as a master. The system includes the different components essential for the first control unit to communicate with vehicle ECU to effectively control the vehicle glazing unit. Operational control for glazing managed with user interface and command received from master ECU through controller area network (CAN) / Local Interconnect Network (LIN) communication protocol. It provides regulated power supply to the electronic control unit, glazing unit and other components. Said unit may be a microcontroller.
[0052] In an embodiment of the present invention is disclosed a method (200) for predicting a model for operating an electrically switchable polymer dispersed liquid crystals (PDLC) based active glazing for automobiles as shown in PIG. 6. Said method comprises the steps of
[0053] S201: obtaining, by a control unit, an initial control gain from a pre-fed data set,
[0054] S202: estimating, by the control unit, performance of the PDLC based active glazing,
[0055] S203: checking, by the control unit, if the estimated performance is optimal,
[0056] S204: correcting, by the control unit, the model for operation using the error between a present model output and a measured model,
[0057] S205: estimating, by the control unit, an analytical model and PDLC plant model using switching ON / OFF transient response,
[0058] S206: improving, by the control unit, the model for operating PDLC assembly using the error between present model output and measurements.
[0059] Experiment:
[0060] In an exemplary embodiment of the disclosed invention, a system for predicting a model for operating an active glazing for automobiles is considered, in which a suitable module is loaded in the control unit to estimate a model for operating the PDLC assembly based on static and dynamic data of the PDLC assembly, in this exemplary embodiment, said module is a software configure to measure the current, voltage available at the control unit, predict the PDLC model from current and voltage, estimate right control parameter and control effectively in controller using control parameters, to improve operation. As per the present invention, the estimated PDLC model parameters are suitably calculated. FIG. 6A provides data as per the PDLC excitation, while FIG. 6B provides PDLC output current and FIG. 6C provides PDLC output current.
[0061] Some advantages of the present invention are enlisted in the following:
[0062] • Since the voltage input applied exactly to the level required, it reduce energy losses in turning PDLC ON / OFF and in operation as well.
[0063] • The present invention has efficient PWM Switching for controlled AC voltage application.
[0064] • There is an increase the components lifespan of control unit of PDLC
[0065] • Voltage to be applied = Model matrix (PDLC next state - PDLC model* PLDC present state)
[0066] • To minimize the energy loss in turning PDLC ON
[0067] • Optimize energy consumption, reduce the carbon footprint for same operation
[0068] • Early PDLC film aging detection.
[0069] • Retain the PDLC performance irrespective of aging effect
[0070] • Sporadically can observe flicker issue which is undesirable
[0071] Many alterations and modifications of the present invention will no doubt become apparent to a person skilled in the art after having read the foregoing description. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. It is to be understood that the description above contains many specifications, these should not be construed as limiting the scope of the invention but as merely providing illustrations of some of the personally preferred embodiments of this invention. Thus, the scope of the invention should be determined by the appended claims and their legal equivalents rather than by the examples given. Features that are described and / or illustrated with respect to one embodiment may be used in the same way or in a similar way in one or more other embodiments and / or in combination with or instead of the features of the other embodiments.
[0072] List of reference numerals appearing in the accompanying drawings and the corresponding features:
[0073] 100: system
[0074] 101: a laminated glass
[0075] 101a: a first substrate
[0076] 101b: a second substrate
[0077] 101c, 101 d: one or more interlayers
[0078] 102: PDLC) assembly
[0079] 103 : a first control unit
[0080] 105: sensors
[0081] 106: inverter unit
[0082] 107: pulse width modulation unit (107)
[0083] 108: a second control unit
[0084] 200: method
[0085] S201-S206: method steps
Claims
CLAIMS1. A system (100) for predicting a model for operating an active glazing for automobiles, wherein said system comprises: a laminated glass (101) having a first substrate (101a) of glass or polymer; a second substrate (101b) of glass or polymer; one or more interlayers (101c, 101 d) and an electrically switchable polymer dispersed liquid crystals (PDLC) assembly (102) disposed between said first and second substrates (101a, 101b); a first control unit (103) operably configured with the PDLC assembly (102) to identify a model for operating said PDLC assembly (102), wherein said first control unit (103) is configured to estimate the model for operating said PDLC assembly (102) based on static and dynamic data of the PDLC assembly; said static data comprises the power loss obtained at an operating point of the assembly and dynamic data comprises on a set of characteristics of the PDLC assembly (103).
2. The system (100) as claimed in claim 1, comprises one or more sensors (105) configured to measure the electrical parameters at an input point of the PDLC assembly (103); wherein said one or more sensors (105) are further configured to provide the measured electrical parameters as feedback to the first control unit (103).
3. The system (100) as claimed in claim 1, comprises an inverter unit (106) configured to control the PDLC assembly (102) throughout the operation cycle of the PDLC assembly (102).
4. The system (100) as claimed in claim 1, wherein the first control unit (103) is configured to calculate an initial model for operating based on static data.
5. The system (100) as claimed in claim 4, wherein the first control unit (103) is further configured to obtain another model for operating based on dynamic data at its next instance of operation.
6. The system (100) as claimed in claim 1, wherein the first control unit (103) is configured to compare an estimated output and a measured output; andthe difference between said estimated output and measured output is used to improve model for operating the PDLC assembly (102) at the next instance of operating.
7. The system (100) as claimed in claim 1, wherein first control unit (103) is configured to improve the model for operating the PDLC assembly by calculating a capacitance factor and a resistance factors for next instance of based on:Pl = P0 + rl. function (Estimated output — measured output)QI = Q0 ± rl. function (Estimated output — measured output) wherein,Pl : capacitance factor at instance tlP0: capacitance factor at instance tOQI : resistance factor at instance tlQ0: resistance factor at instance tO rl : a constant or a conversion factor8. The system (100) as claimed in claim 1, comprises a pulse width modulation unit (107) and an inverter unit (106) operably configured to supply power to the PDLC assembly (102).
9. The system (100) as claimed in claim 1, wherein the PDLC assembly is a segmented structure.
10. The system (100) as claimed in claim 9, comprises an inverter unit (106) configured to control each segment of the PDLC assembly (102) independently throughout the operation cycle of the PDLC assembly (102).
11. The system (100) as claimed in claim 7, wherein the first control unit (103) is configured to identify a separate model for operating in key intervals or instances of time during the operation of the PDLC assembly (102).
12. The system (100) as claimed in claim 1, wherein the first control unit (103) is configured to check whether an estimated output at the operating point is optimal; and said first control unit (103) is further configured to continuously check a state of the model for operating with static and / or dynamic data for further improving said model for operating.
13. The system (100) as claimed in claim 1, comprises means for compensating residual energy stored in a capacitive element of the PDLC assembly.
14. The system (100) as claimed in claim 1, wherein first control unit (103) is configured to identify a change in the model for operation using a measurement signature, an input applied, measured data and signal flow for a closed loop-based control.
15. The system (100) as claimed in claim 14, wherein the nature of variation in the measured data indicates the measurement signature of the electrical characteristics of the functioning of the PDLC assembly and said measured data refers to output power.
16. The system (100) as claimed in claim 1, wherein the first control unit (103) is configured to calculate an initial control parameters from pre-determined static data, said pre-determined static data being physical and electrical characteristics of the PDLC assembly (102).
17. The system (100) as claimed in claim 1, wherein said first control unit (103) is operably configured with a second control unit (108), and are engaged in a secure bi-directional communication; wherein said second control unit is a vehicle electronic control unit.
18. A method (200) for predicting a model for operating an electrically switchable polymer dispersed liquid crystals (PDLC) based active glazing for automobiles, wherein said method comprises the steps of: obtaining (S201), by a control unit, an initial control gain from a pre-fed data set; estimating (S202), by the control unit, performance of the PDLC based active glazing; checking (S203), by the control unit, if the estimated performance is optimal; correcting (S204), by the control unit, the model for operation using the error between a present model output and a measured model; estimating (S205), by the control unit, an analytical model and PDLC plant model using switching ON / OFF transient response; and improving (S206), by the control unit, the model for operating PDLC assembly using the error between present model output and measurements.
Citation Information
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