Pub Date : 2021-11-22DOI: 10.1109/IEACon51066.2021.9654529
M. Al-Mothafar
This work is concerned with the closed-loop control of a modular current-programmed independent-input series-output (IISO) boost dc-dc converter operating in the continuous conduction mode. Each module is supplied from an independent power source and has its own current and voltage feedback loops. A Matlab/Simulink-based averaged small-signal model is developed to study the module control-to-output voltage frequency responses with current loops closed and voltage loops open. Based on these responses the model is updated with a type-2 compensated error amplifier in the voltage loop of each module. The compensator is designed for the maximum number of modules to ensure system stability when lower number of modules is used. Closed-loop responses due to step changes in load current and module input voltage show equal load-voltage sharing among the modules. All model predictions are validated using cycle-by-cycle simulations.
{"title":"Control of $N$-Connected Current-Programmed Independent-Input Series-Output Boost DC-DC Converters","authors":"M. Al-Mothafar","doi":"10.1109/IEACon51066.2021.9654529","DOIUrl":"https://doi.org/10.1109/IEACon51066.2021.9654529","url":null,"abstract":"This work is concerned with the closed-loop control of a modular current-programmed independent-input series-output (IISO) boost dc-dc converter operating in the continuous conduction mode. Each module is supplied from an independent power source and has its own current and voltage feedback loops. A Matlab/Simulink-based averaged small-signal model is developed to study the module control-to-output voltage frequency responses with current loops closed and voltage loops open. Based on these responses the model is updated with a type-2 compensated error amplifier in the voltage loop of each module. The compensator is designed for the maximum number of modules to ensure system stability when lower number of modules is used. Closed-loop responses due to step changes in load current and module input voltage show equal load-voltage sharing among the modules. All model predictions are validated using cycle-by-cycle simulations.","PeriodicalId":397039,"journal":{"name":"2021 IEEE Industrial Electronics and Applications Conference (IEACon)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122485272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-22DOI: 10.1109/IEACon51066.2021.9654479
R. Baharom, K. S. Muhammad
This paper describes the derivation of a small-signal model for the three-phase ac-dc Current Injection Hybrid Resonant Converter (CIHRC). This derivation was required to form the basis for the design of the closed-loop controller in order to regulate the output dc voltage. The analysis of a small-signal model for the CIHRC was done by considering that the converter would involve two stages; the line-frequency rectifier, and high-frequency resonant circuit. The developed small-signal model showed a good basis for the design of an output voltage controller for the converter since the output voltage transient was accurately predicted. The validation of the small-signal model was done through the MATLAB/Simulink simulation model.
{"title":"Small Signal Model of the Three-Phase AC-DC Current Injection Hybrid Resonant Converter","authors":"R. Baharom, K. S. Muhammad","doi":"10.1109/IEACon51066.2021.9654479","DOIUrl":"https://doi.org/10.1109/IEACon51066.2021.9654479","url":null,"abstract":"This paper describes the derivation of a small-signal model for the three-phase ac-dc Current Injection Hybrid Resonant Converter (CIHRC). This derivation was required to form the basis for the design of the closed-loop controller in order to regulate the output dc voltage. The analysis of a small-signal model for the CIHRC was done by considering that the converter would involve two stages; the line-frequency rectifier, and high-frequency resonant circuit. The developed small-signal model showed a good basis for the design of an output voltage controller for the converter since the output voltage transient was accurately predicted. The validation of the small-signal model was done through the MATLAB/Simulink simulation model.","PeriodicalId":397039,"journal":{"name":"2021 IEEE Industrial Electronics and Applications Conference (IEACon)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126319803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-22DOI: 10.1109/IEACon51066.2021.9654740
Sanjana Dias, K. Sandaruwan, Shalitha Jayasekara
Grams per square meter (GSM) or Grammage is an ISO-recommended term to express the mass per unit area of papers, metal sheets, plastic-made products, and fabric materials. GSM tests are widely used in the textile industry to measure GSM of knitted fabrics, and to ensure quality and other standard fabrics' specifications. Meanwhile, most textile organizations prefer the manual GSM measuring procedure, which leads to many disadvantages, including fabric wastage. An automated non-contact type fabric Grammage measuring method is proposed as an alternative solution for this industrial issue. This paper introduces mathematical models for determining GSM values based on beta particle absorption characteristics of three selected fabrics. Moreover, this study discusses a real-time GSM measuring system, which utilizes the generated mathematical models. Through this paper, developed mathematical models are investigated over the goodness of fit parameters. Developed models are appropriate for GSM value estimation with R2 values over 0.99, and lower Root Mean Square Error (RMSE) Values. Error percentages obtained during the validation of these mathematical models are less than 1% for all fabric types.
{"title":"An Automated System for Estimating GSM Value of Fabrics using Beta Particle Absorption Characteristics","authors":"Sanjana Dias, K. Sandaruwan, Shalitha Jayasekara","doi":"10.1109/IEACon51066.2021.9654740","DOIUrl":"https://doi.org/10.1109/IEACon51066.2021.9654740","url":null,"abstract":"Grams per square meter (GSM) or Grammage is an ISO-recommended term to express the mass per unit area of papers, metal sheets, plastic-made products, and fabric materials. GSM tests are widely used in the textile industry to measure GSM of knitted fabrics, and to ensure quality and other standard fabrics' specifications. Meanwhile, most textile organizations prefer the manual GSM measuring procedure, which leads to many disadvantages, including fabric wastage. An automated non-contact type fabric Grammage measuring method is proposed as an alternative solution for this industrial issue. This paper introduces mathematical models for determining GSM values based on beta particle absorption characteristics of three selected fabrics. Moreover, this study discusses a real-time GSM measuring system, which utilizes the generated mathematical models. Through this paper, developed mathematical models are investigated over the goodness of fit parameters. Developed models are appropriate for GSM value estimation with R2 values over 0.99, and lower Root Mean Square Error (RMSE) Values. Error percentages obtained during the validation of these mathematical models are less than 1% for all fabric types.","PeriodicalId":397039,"journal":{"name":"2021 IEEE Industrial Electronics and Applications Conference (IEACon)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132372656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-22DOI: 10.1109/IEACon51066.2021.9654606
Guo-Bin Wang, D. Bui, Lei Zhao, Qi Zhu, A. Hu
Most inductor currents in switch-mode power electronic circuits have distorted waveforms, which makes it difficult to predict the power losses using traditional DC or high frequency AC equivalent resistances. This paper presents a high frequency inductor model that can be used for accurately calculating the power losses at multiple harmonic frequencies. A 2nd order equivalent circuit model is proposed to describe the dynamic characteristics of a high frequency inductor by considering the DC, fundamental and up to 4th order harmonic AC components. A procedure to determine the model parameters is proposed with known fundamental frequency, inductance, DC and equivalent AC resistances. In general, the equivalent circuit model of the inductor can be used for time domain simulation of power converters for more accurate results; and specifically it is applied to model a practical inductor used in a 5MHz Boost dc-dc converter and Class-E inverter respectively. The final power loss results show a good agreement with theoretical analysis.
{"title":"Modelling Power Loss of High-Frequency Inductor under Distorted Current Waveforms","authors":"Guo-Bin Wang, D. Bui, Lei Zhao, Qi Zhu, A. Hu","doi":"10.1109/IEACon51066.2021.9654606","DOIUrl":"https://doi.org/10.1109/IEACon51066.2021.9654606","url":null,"abstract":"Most inductor currents in switch-mode power electronic circuits have distorted waveforms, which makes it difficult to predict the power losses using traditional DC or high frequency AC equivalent resistances. This paper presents a high frequency inductor model that can be used for accurately calculating the power losses at multiple harmonic frequencies. A 2nd order equivalent circuit model is proposed to describe the dynamic characteristics of a high frequency inductor by considering the DC, fundamental and up to 4th order harmonic AC components. A procedure to determine the model parameters is proposed with known fundamental frequency, inductance, DC and equivalent AC resistances. In general, the equivalent circuit model of the inductor can be used for time domain simulation of power converters for more accurate results; and specifically it is applied to model a practical inductor used in a 5MHz Boost dc-dc converter and Class-E inverter respectively. The final power loss results show a good agreement with theoretical analysis.","PeriodicalId":397039,"journal":{"name":"2021 IEEE Industrial Electronics and Applications Conference (IEACon)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129158624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-22DOI: 10.1109/IEACon51066.2021.9654789
S. R. Tito, Attique ur Rehman, Youngyoon Kim, P. Nieuwoudt, Saad Aslam, S. Soltic, T. Lie, Neel Pandey, M. Ahmed
A Non-intrusive Load Monitoring approach extracts the operation time of individual appliances from an aggregated load measured at a single entry-point using their energy consumption characteristics. Event detection represents an important step for load segregation where energy state change on aggregated load and duration are obtained. This paper proposes two event detection algorithms using image segmentation based on two diverse methodologies namely, k-means clustering and thresholding technique. The proposed algorithms are applied to an image generated by encoded Gramian Angular Summation Field of time series data. The method is simple to implement and efficient in computation. The proposed approach is tested and validated using real-world load measurements: Almanac of Minutely Power dataset, and for said purposes, comprehensive simulation studies have been carried out on a low-cost Raspberry Pi 3B+ platform. The corresponding results are promising in terms of event detection and indicate that the proposed approach has a strong potential towards more robust and accurate event-based NILM systems.
{"title":"Image Segmentation-based Event Detection for Non-Intrusive Load Monitoring using Gramian Angular Summation Field","authors":"S. R. Tito, Attique ur Rehman, Youngyoon Kim, P. Nieuwoudt, Saad Aslam, S. Soltic, T. Lie, Neel Pandey, M. Ahmed","doi":"10.1109/IEACon51066.2021.9654789","DOIUrl":"https://doi.org/10.1109/IEACon51066.2021.9654789","url":null,"abstract":"A Non-intrusive Load Monitoring approach extracts the operation time of individual appliances from an aggregated load measured at a single entry-point using their energy consumption characteristics. Event detection represents an important step for load segregation where energy state change on aggregated load and duration are obtained. This paper proposes two event detection algorithms using image segmentation based on two diverse methodologies namely, k-means clustering and thresholding technique. The proposed algorithms are applied to an image generated by encoded Gramian Angular Summation Field of time series data. The method is simple to implement and efficient in computation. The proposed approach is tested and validated using real-world load measurements: Almanac of Minutely Power dataset, and for said purposes, comprehensive simulation studies have been carried out on a low-cost Raspberry Pi 3B+ platform. The corresponding results are promising in terms of event detection and indicate that the proposed approach has a strong potential towards more robust and accurate event-based NILM systems.","PeriodicalId":397039,"journal":{"name":"2021 IEEE Industrial Electronics and Applications Conference (IEACon)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117084774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-22DOI: 10.1109/IEACon51066.2021.9654683
Hirenkumar Gami
A cost-effective surveillance and energy optimization is the primary focus area of modern smart homes and buildings. Pyroelectric Infrared Sensor (PIR) is an excellent device to detect human/animal presence with a small form factor, rugged design, privacy noninvasive, and cost-effective surveillance. Often, a discrete ON/OFF decision of the PIR sensor is used to control lights, electrical appliances, and/or to activate the alarm upon the presence of a human/animal body in a surveillance zone of the sensor. This paper is focusing on decision-making based on the analog pattern obtained from the PIR sensor. An analog pattern and associated with wave shape can reveal valuable information about the direction of movement, approximate distance, and other parameters related to movement in the Field of View (FoV) of a sensor. Machine learning and time-series pattern analysis algorithms can be used to improve estimation reliability. Finally, the sensor module can be connected wirelessly with the master control PC by a low-cost LoRa module to log the movement analytics. The stored information can be useful for optimal logistics and background resource management. The method can be very effective compared with its peer camera-based surveillance that requires more processing power, cost, and more importantly, it is privacy-invasive. A group of Engineering Technology seniors was engaged as a part of their capstone project experience in building PIR circuit design, 3D printed customized sensor module housing design and recording physical movements for backend processing. This adds a valuable inter-disciplinary learning experience of professional project work.
{"title":"Cost-effective Energy Optimization and Indoor Surveillance","authors":"Hirenkumar Gami","doi":"10.1109/IEACon51066.2021.9654683","DOIUrl":"https://doi.org/10.1109/IEACon51066.2021.9654683","url":null,"abstract":"A cost-effective surveillance and energy optimization is the primary focus area of modern smart homes and buildings. Pyroelectric Infrared Sensor (PIR) is an excellent device to detect human/animal presence with a small form factor, rugged design, privacy noninvasive, and cost-effective surveillance. Often, a discrete ON/OFF decision of the PIR sensor is used to control lights, electrical appliances, and/or to activate the alarm upon the presence of a human/animal body in a surveillance zone of the sensor. This paper is focusing on decision-making based on the analog pattern obtained from the PIR sensor. An analog pattern and associated with wave shape can reveal valuable information about the direction of movement, approximate distance, and other parameters related to movement in the Field of View (FoV) of a sensor. Machine learning and time-series pattern analysis algorithms can be used to improve estimation reliability. Finally, the sensor module can be connected wirelessly with the master control PC by a low-cost LoRa module to log the movement analytics. The stored information can be useful for optimal logistics and background resource management. The method can be very effective compared with its peer camera-based surveillance that requires more processing power, cost, and more importantly, it is privacy-invasive. A group of Engineering Technology seniors was engaged as a part of their capstone project experience in building PIR circuit design, 3D printed customized sensor module housing design and recording physical movements for backend processing. This adds a valuable inter-disciplinary learning experience of professional project work.","PeriodicalId":397039,"journal":{"name":"2021 IEEE Industrial Electronics and Applications Conference (IEACon)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115423693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-22DOI: 10.1109/IEACon51066.2021.9654516
M. Hossain, Saffat Newaz Sadmani, M. M. Rahman, Md. Taohidul Haque Emon, F. Shahrin, A. Azad
The demand of charging a battery in shorter time leads to the development of fast charging strategies. The aim of fast charging is to inject higher amount of currents in such a way that the battery can reach to its full capacity in the shortest possible time. Battery impedance and polarization voltage needed to be taken into account to do so. CC-CV method, pulse charging method, boost charging etc. are some of the commonly known fast charging methods but among them, CC-CV method is the most used. However, its inability to charge the battery fast enough and also heating the battery have made this method inefficient and dangerous. To overcome these issues pulse charging method can be used where pulses of current are sent into the battery. There are various strategies to do pulse charging. Searching optimal frequency and optimal duty cycle simultaneously and charging with them results in faster charging time and lower battery temperature. The results of the strategy can be found in both hardware implementation and through simulation. Studies have been made with variable frequency and variable duty cycle but the simultaneous use of these two strategies along with the temperature changes was not done, nor the comparison of the simulated result and hardware implementation. Here, both are compared in order to determine which one is the most efficient where we have found out the charging time of the battery to be improved significantly when we have used delay between the pulses. However, an increased charging time have been seen when the delay was not present.
{"title":"Efficient Fast Charging Using Simultaneous Search of Optimal Frequency and Optimal Duty Cycle in Pulse Charging Method","authors":"M. Hossain, Saffat Newaz Sadmani, M. M. Rahman, Md. Taohidul Haque Emon, F. Shahrin, A. Azad","doi":"10.1109/IEACon51066.2021.9654516","DOIUrl":"https://doi.org/10.1109/IEACon51066.2021.9654516","url":null,"abstract":"The demand of charging a battery in shorter time leads to the development of fast charging strategies. The aim of fast charging is to inject higher amount of currents in such a way that the battery can reach to its full capacity in the shortest possible time. Battery impedance and polarization voltage needed to be taken into account to do so. CC-CV method, pulse charging method, boost charging etc. are some of the commonly known fast charging methods but among them, CC-CV method is the most used. However, its inability to charge the battery fast enough and also heating the battery have made this method inefficient and dangerous. To overcome these issues pulse charging method can be used where pulses of current are sent into the battery. There are various strategies to do pulse charging. Searching optimal frequency and optimal duty cycle simultaneously and charging with them results in faster charging time and lower battery temperature. The results of the strategy can be found in both hardware implementation and through simulation. Studies have been made with variable frequency and variable duty cycle but the simultaneous use of these two strategies along with the temperature changes was not done, nor the comparison of the simulated result and hardware implementation. Here, both are compared in order to determine which one is the most efficient where we have found out the charging time of the battery to be improved significantly when we have used delay between the pulses. However, an increased charging time have been seen when the delay was not present.","PeriodicalId":397039,"journal":{"name":"2021 IEEE Industrial Electronics and Applications Conference (IEACon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129518374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-22DOI: 10.1109/IEACon51066.2021.9654451
Kotb B. Tawfiq, Ahmed Selema, M. Ibrahim, P. Sergeant
This article introduces three-phase synchronous reluctance motor (SynRM) drive system based on matrix converter. A SynRM is selected in this drive system due to its higher efficiency and better cooling compared to induction machines. In this drive system, matrix converter is used to control SynRM as there is no big DC link capacitor in this converter as in the traditional rectifier inverter. This reduces the repetitive maintenance of the drive system. Moreover, the AC input voltage is directly converted to the output side with the required amplitude and the required frequency without any reactive element. This converter is capable of producing an extensive range of output frequencies. Indirect space vector modulation is implemented to control the converter switches with field-oriented control technique. The drive system's performance is studied at various operating condition either in torque control mode and in speed control mode.
{"title":"Synchronous Reluctance Motor Drive System Fed From Three-Phase Matrix Converter","authors":"Kotb B. Tawfiq, Ahmed Selema, M. Ibrahim, P. Sergeant","doi":"10.1109/IEACon51066.2021.9654451","DOIUrl":"https://doi.org/10.1109/IEACon51066.2021.9654451","url":null,"abstract":"This article introduces three-phase synchronous reluctance motor (SynRM) drive system based on matrix converter. A SynRM is selected in this drive system due to its higher efficiency and better cooling compared to induction machines. In this drive system, matrix converter is used to control SynRM as there is no big DC link capacitor in this converter as in the traditional rectifier inverter. This reduces the repetitive maintenance of the drive system. Moreover, the AC input voltage is directly converted to the output side with the required amplitude and the required frequency without any reactive element. This converter is capable of producing an extensive range of output frequencies. Indirect space vector modulation is implemented to control the converter switches with field-oriented control technique. The drive system's performance is studied at various operating condition either in torque control mode and in speed control mode.","PeriodicalId":397039,"journal":{"name":"2021 IEEE Industrial Electronics and Applications Conference (IEACon)","volume":"11 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129596620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-22DOI: 10.1109/IEACon51066.2021.9654665
Xian Cui, Zi-qiang Chen, Jianyu Lan, M. Dong
Health management of lithium battery is one of the core functions of Battery Management System (BMS). In order to improve the estimation accuracy of existing SOH estimation method, an online SOH estimation framework based on incremental capacity analysis (ICA) and Time Pattern Attention Mechanism Long Short-Term Memory (TPA-LSTM) network is proposed. Firstly, the aging experiment of lithium battery is carried out, and the smooth IC curve is drawn through voltage local reconstruction and Gaussian Filtering method. Then, a series of IC values within specific voltage range are regarded as health indicator sequences (HIs). The effectiveness of all health indicators is proved by grey relation analysis. Finally, TPA-LSTM network is built to receive HIs and output SOH to realize the numerical mapping from HIs to SOH. The simulation results based on NASA lithium-ion battery aging dataset show that the proposed method has a mean absolute error of less than 0.7%, and the mean absolute error of Hardware-In-the-Loop test results is less than 0.2%.
{"title":"An Online State of Health Estimation Method for Lithium-ion Battery Based on ICA and TPA-LSTM","authors":"Xian Cui, Zi-qiang Chen, Jianyu Lan, M. Dong","doi":"10.1109/IEACon51066.2021.9654665","DOIUrl":"https://doi.org/10.1109/IEACon51066.2021.9654665","url":null,"abstract":"Health management of lithium battery is one of the core functions of Battery Management System (BMS). In order to improve the estimation accuracy of existing SOH estimation method, an online SOH estimation framework based on incremental capacity analysis (ICA) and Time Pattern Attention Mechanism Long Short-Term Memory (TPA-LSTM) network is proposed. Firstly, the aging experiment of lithium battery is carried out, and the smooth IC curve is drawn through voltage local reconstruction and Gaussian Filtering method. Then, a series of IC values within specific voltage range are regarded as health indicator sequences (HIs). The effectiveness of all health indicators is proved by grey relation analysis. Finally, TPA-LSTM network is built to receive HIs and output SOH to realize the numerical mapping from HIs to SOH. The simulation results based on NASA lithium-ion battery aging dataset show that the proposed method has a mean absolute error of less than 0.7%, and the mean absolute error of Hardware-In-the-Loop test results is less than 0.2%.","PeriodicalId":397039,"journal":{"name":"2021 IEEE Industrial Electronics and Applications Conference (IEACon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129638831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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