Pub Date : 2013-11-21DOI: 10.1109/VPPC.2013.6671687
S. Jeschke, H. Hirsch, M. Koppers, D. Schramm
Currently electric vehicles are introduced in e.g. public transport and individual traffic in order to reduce i.a. the green house gas emissions. The main disadvantage of electric vehicles compared to vehicles with conventional drive is the shorter operating distance. In contrast this disadvantage is partially negligible in urban usage scenarios, like e.g. taxi or delivery services. This paper focuses on the simulation of electric vehicle propulsion systems using a Hardware in the Loop (HiL) model. The model consisting of components used in actual electric vehicles is scaled using Buckingham's Pi-Theorem in order to analyze the impact of different electric traction systems on the vehicle's energy consumption. Thus the available operating distance of such vehicles can be optimized in urban traffic.
{"title":"Investigations on the Impact of Different Electric Vehicle Traction Systems in Urban Traffic","authors":"S. Jeschke, H. Hirsch, M. Koppers, D. Schramm","doi":"10.1109/VPPC.2013.6671687","DOIUrl":"https://doi.org/10.1109/VPPC.2013.6671687","url":null,"abstract":"Currently electric vehicles are introduced in e.g. public transport and individual traffic in order to reduce i.a. the green house gas emissions. The main disadvantage of electric vehicles compared to vehicles with conventional drive is the shorter operating distance. In contrast this disadvantage is partially negligible in urban usage scenarios, like e.g. taxi or delivery services. This paper focuses on the simulation of electric vehicle propulsion systems using a Hardware in the Loop (HiL) model. The model consisting of components used in actual electric vehicles is scaled using Buckingham's Pi-Theorem in order to analyze the impact of different electric traction systems on the vehicle's energy consumption. Thus the available operating distance of such vehicles can be optimized in urban traffic.","PeriodicalId":119598,"journal":{"name":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"67 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120939863","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 : 2013-11-21DOI: 10.1109/VPPC.2013.6671667
C. Unterrieder, R. Priewasser, S. Marsili, M. Huemer
For electric vehicles, the improvement of the range of miles and with it the utilization of the available cell/battery capacity has become an important research focus in the community. For optimization of the same, an accurate knowledge of internal cell parameters like the state-of-charge (SoC) or the impedance is indispensable. Compared to the state-of-the-art, in this paper discrete-time Kalman and H∞ filtering based SoC estimation schemes - up to now applied to linear battery models - are applied to the nonlinear model of a Li-Ion battery. For that, a linearization method is proposed, which utilizes a prior knowledge about the predominant nonlinearities in the model together with a coarse SOC estimate to obtain a linear state estimation problem. Based on that, a mixed Kalman/H∞ filter-, a discrete-time sliding mode observer-, and an adaptive Luenberger based estimation scheme is furthermore investigated for the nonlinear battery model under test. The above-mentioned methods are compared to the state-of-the-art reduced order SoC observer and the Coulomb counting method. In order to compare the performance, an appropriate battery simulation framework is used, which includes measurement and modeling uncertainties. The evaluation is done with respect to the ability to reduce the impact of error sources present in realistic scenarios. For the simulated load current pattern, best results are achieved by the mixed Kalman/H∞ filtering approach, which achieves an average SoC estimation error of less than 1%.
{"title":"Battery State Estimation Using Mixed Kalman/Hinfinity, Adaptive Luenberger and Sliding Mode Observer","authors":"C. Unterrieder, R. Priewasser, S. Marsili, M. Huemer","doi":"10.1109/VPPC.2013.6671667","DOIUrl":"https://doi.org/10.1109/VPPC.2013.6671667","url":null,"abstract":"For electric vehicles, the improvement of the range of miles and with it the utilization of the available cell/battery capacity has become an important research focus in the community. For optimization of the same, an accurate knowledge of internal cell parameters like the state-of-charge (SoC) or the impedance is indispensable. Compared to the state-of-the-art, in this paper discrete-time Kalman and H∞ filtering based SoC estimation schemes - up to now applied to linear battery models - are applied to the nonlinear model of a Li-Ion battery. For that, a linearization method is proposed, which utilizes a prior knowledge about the predominant nonlinearities in the model together with a coarse SOC estimate to obtain a linear state estimation problem. Based on that, a mixed Kalman/H∞ filter-, a discrete-time sliding mode observer-, and an adaptive Luenberger based estimation scheme is furthermore investigated for the nonlinear battery model under test. The above-mentioned methods are compared to the state-of-the-art reduced order SoC observer and the Coulomb counting method. In order to compare the performance, an appropriate battery simulation framework is used, which includes measurement and modeling uncertainties. The evaluation is done with respect to the ability to reduce the impact of error sources present in realistic scenarios. For the simulated load current pattern, best results are achieved by the mixed Kalman/H∞ filtering approach, which achieves an average SoC estimation error of less than 1%.","PeriodicalId":119598,"journal":{"name":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115037582","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 : 2013-11-21DOI: 10.1109/VPPC.2013.6671726
S. Kim, Sang Hun Lee, C. Song, Kyung-Soo Kim, Y. Yoon
The existing transmissions have limitations related to driving comfort, manufacturing price, or driveline efficiency. To satisfy the complex demands of users, the clutchless geared smart transmission (CGST) is proposed. The CGST has a distinctive structure combining the geared transmission and planetary gear system. Especially, its pseudo-clutch system including a planetary gear system and an electric motor acts as a clutch to change the gears smoothly. In this research, the shifting mechanism of the CGST was focused to verify their feasibility. To realize its sequential shifting steps including a speed control phase and a torque control phase of CGST operation, the compact car size test bench containing CGST as transmission was developed and tested. From the test, starting flywheel with 1st gear engaging by speed synchronization of carrier gear to output shaft was shown to be possible, and up shifting from 1st gear to 2nd gear was also performed with continuous power delivery to the flywheel. Based on the experimental result, the shifting mechanism was verified. In the future, we will quantify the shifting smoothness by using modified test bench.
{"title":"Verification of the Shifting Mechanism of Clutchless Geared Smart Transmission Using the Compact Car Size Test Bench","authors":"S. Kim, Sang Hun Lee, C. Song, Kyung-Soo Kim, Y. Yoon","doi":"10.1109/VPPC.2013.6671726","DOIUrl":"https://doi.org/10.1109/VPPC.2013.6671726","url":null,"abstract":"The existing transmissions have limitations related to driving comfort, manufacturing price, or driveline efficiency. To satisfy the complex demands of users, the clutchless geared smart transmission (CGST) is proposed. The CGST has a distinctive structure combining the geared transmission and planetary gear system. Especially, its pseudo-clutch system including a planetary gear system and an electric motor acts as a clutch to change the gears smoothly. In this research, the shifting mechanism of the CGST was focused to verify their feasibility. To realize its sequential shifting steps including a speed control phase and a torque control phase of CGST operation, the compact car size test bench containing CGST as transmission was developed and tested. From the test, starting flywheel with 1st gear engaging by speed synchronization of carrier gear to output shaft was shown to be possible, and up shifting from 1st gear to 2nd gear was also performed with continuous power delivery to the flywheel. Based on the experimental result, the shifting mechanism was verified. In the future, we will quantify the shifting smoothness by using modified test bench.","PeriodicalId":119598,"journal":{"name":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115533594","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 : 2013-11-21DOI: 10.1109/VPPC.2013.6671734
M. Sivertsson, L. Eriksson
Optimal control of a diesel-electric powertrain in transient operation is studied. The attention is on how generator limits affect the solution, as well as how the addition of a small energy storage can assist in the transients. Two different types of problems are solved, minimum fuel and minimum time, with different generator limits as well as with and without an extra energy storage. In the optimization both the output power and engine speed are free variables. For this aim a 4-state mean value engine model is used together with models for the generator and energy storage losses. The considered transients are steps from idle to target power with different amounts of freedom, defined as requirements on produced energy, before the requested power has to be met. For minimum fuel transients the energy storage remains virtually unused for all requested energies, for minimum time it does not. The generator limits are found to have the biggest impact on the fuel economy, whereas an energy storage could significantly reduce the response time.
{"title":"Generator Effects on the Optimal Control of a Power Assisted Diesel-Electric Powertrain","authors":"M. Sivertsson, L. Eriksson","doi":"10.1109/VPPC.2013.6671734","DOIUrl":"https://doi.org/10.1109/VPPC.2013.6671734","url":null,"abstract":"Optimal control of a diesel-electric powertrain in transient operation is studied. The attention is on how generator limits affect the solution, as well as how the addition of a small energy storage can assist in the transients. Two different types of problems are solved, minimum fuel and minimum time, with different generator limits as well as with and without an extra energy storage. In the optimization both the output power and engine speed are free variables. For this aim a 4-state mean value engine model is used together with models for the generator and energy storage losses. The considered transients are steps from idle to target power with different amounts of freedom, defined as requirements on produced energy, before the requested power has to be met. For minimum fuel transients the energy storage remains virtually unused for all requested energies, for minimum time it does not. The generator limits are found to have the biggest impact on the fuel economy, whereas an energy storage could significantly reduce the response time.","PeriodicalId":119598,"journal":{"name":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126430318","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 : 2013-11-21DOI: 10.1109/VPPC.2013.6671736
Vaheed Nezhadali, L. Eriksson
The optimal control of wheel loader operation is used in order to investigate the potentials for fuel cost and cycle time minimization during the short loading cycle. The wheel loader is modeled as a nonlinear system with three control inputs and four state variables where a diesel engine generates the power utilized for lifting and traction. The lifting system is modeled considering the limitations in the hydraulics and also the structural constraints. A torque converter is included in the driveline model which introduces nonlinearities into the system and operates in different modes affecting the fuel consumption. The gear shifts during the loading cycle impose a discrete variable into the system and this is taken care of by representing the loading cycle as a multi-phase optimal control problem with constant gearbox gear ratio in each phase. Minimum fuel and minimum time system transients are calculated and analyzed for two alternative cases one where the torque converter is used to stop the vehicle before reaching the reversing point and another where the service brakes are utilized. The optimal control problem is iteratively solved in order to obtain the tradeoff between fuel consumption and cycle time for both braking alternatives. It is shown that although the engine operates at lower speeds when the torque converter is used for braking, the fuel consumption increases as higher torques are demanded from the engine during braking. The increase in fuel consumption is higher in faster cycle operations as the vehicle travels at higher speeds and larger torques are required to stop the vehicle. Wheel loader operators tend to use torque converter braking alternative as it is more convenient; however, it accompanies higher fuel consumption which highlights the importance of developing intelligent and easy to use braking systems.
{"title":"Optimal Control of Wheel Loader Operation in the Short Loading Cycle Using Two Braking Alternatives","authors":"Vaheed Nezhadali, L. Eriksson","doi":"10.1109/VPPC.2013.6671736","DOIUrl":"https://doi.org/10.1109/VPPC.2013.6671736","url":null,"abstract":"The optimal control of wheel loader operation is used in order to investigate the potentials for fuel cost and cycle time minimization during the short loading cycle. The wheel loader is modeled as a nonlinear system with three control inputs and four state variables where a diesel engine generates the power utilized for lifting and traction. The lifting system is modeled considering the limitations in the hydraulics and also the structural constraints. A torque converter is included in the driveline model which introduces nonlinearities into the system and operates in different modes affecting the fuel consumption. The gear shifts during the loading cycle impose a discrete variable into the system and this is taken care of by representing the loading cycle as a multi-phase optimal control problem with constant gearbox gear ratio in each phase. Minimum fuel and minimum time system transients are calculated and analyzed for two alternative cases one where the torque converter is used to stop the vehicle before reaching the reversing point and another where the service brakes are utilized. The optimal control problem is iteratively solved in order to obtain the tradeoff between fuel consumption and cycle time for both braking alternatives. It is shown that although the engine operates at lower speeds when the torque converter is used for braking, the fuel consumption increases as higher torques are demanded from the engine during braking. The increase in fuel consumption is higher in faster cycle operations as the vehicle travels at higher speeds and larger torques are required to stop the vehicle. Wheel loader operators tend to use torque converter braking alternative as it is more convenient; however, it accompanies higher fuel consumption which highlights the importance of developing intelligent and easy to use braking systems.","PeriodicalId":119598,"journal":{"name":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"327 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134322584","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 : 2013-11-21DOI: 10.1109/VPPC.2013.6671714
Jian Wang, Zhengbin Wu, X. Deng, Song Quan, Xiaoping Yang
Power battery module under high-rate discharge conditions produces thermal aggregation phenomena. Generated heat during charging and discharging that distributes in battery module inconsistently affects performance of battery and so that shortens its life. In this paper, a battery module temperature equalization method is proposed with finite element analysis. The temperature field of discharging battery module with different separators between cells is simulated. Theoretical analysis result shows that thin aluminum separators between cells inside battery module can effectively cool the battery module and improve the battery module temperature uniformity, which enhance the cycle life of power battery for electric vehicle applications.
{"title":"Temperature Characteristics Improvement of Power Battery Module for Electric Vehicles","authors":"Jian Wang, Zhengbin Wu, X. Deng, Song Quan, Xiaoping Yang","doi":"10.1109/VPPC.2013.6671714","DOIUrl":"https://doi.org/10.1109/VPPC.2013.6671714","url":null,"abstract":"Power battery module under high-rate discharge conditions produces thermal aggregation phenomena. Generated heat during charging and discharging that distributes in battery module inconsistently affects performance of battery and so that shortens its life. In this paper, a battery module temperature equalization method is proposed with finite element analysis. The temperature field of discharging battery module with different separators between cells is simulated. Theoretical analysis result shows that thin aluminum separators between cells inside battery module can effectively cool the battery module and improve the battery module temperature uniformity, which enhance the cycle life of power battery for electric vehicle applications.","PeriodicalId":119598,"journal":{"name":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114635217","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 : 2013-11-21DOI: 10.1109/VPPC.2013.6671661
Rirong Liang, Xuezhe Wei, Haifeng Dai, Bei Sun
In electric vehicle applications, it is necessary to estimate the internal resistance of Lithium-ion battery, which is feasible through internal resistance identification based on equivalent circuit model. But in the actual battery management system, current sampling tends to lag behind the voltage sampling, which affects the identification accuracy apparently. In this article, the ohmic resistance of the lithium-ion battery is evaluated based on equivalent circuit model and least squares identification algorithm. Influence by desynchronized sampling of current and voltage is simulated. And a reasonable value of sampling step is introduced.
{"title":"A Simulation of Lithium-Ion Battery Ohmic Resistance Identification","authors":"Rirong Liang, Xuezhe Wei, Haifeng Dai, Bei Sun","doi":"10.1109/VPPC.2013.6671661","DOIUrl":"https://doi.org/10.1109/VPPC.2013.6671661","url":null,"abstract":"In electric vehicle applications, it is necessary to estimate the internal resistance of Lithium-ion battery, which is feasible through internal resistance identification based on equivalent circuit model. But in the actual battery management system, current sampling tends to lag behind the voltage sampling, which affects the identification accuracy apparently. In this article, the ohmic resistance of the lithium-ion battery is evaluated based on equivalent circuit model and least squares identification algorithm. Influence by desynchronized sampling of current and voltage is simulated. And a reasonable value of sampling step is introduced.","PeriodicalId":119598,"journal":{"name":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128265096","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 : 2013-11-21DOI: 10.1109/VPPC.2013.6671715
S. Zulkifli, S. Mohd, N. Saad, A. Aziz
A split-axle parallel hybrid drivetrain with in- wheel motors allows for existing fuel-powered vehicles to be converted into a hybrid electric vehicle (HEV) with minor mechanical modification, to result in a retrofit-conversion HEV. This is achieved by placing electric motors in the hubs of the otherwise non-driven wheels. Due to the small design space of the wheel hub, the size and power of the in-wheel motor that can be installed is severely restricted to less than 10kW per wheel, raising the concern of actual performance in improvement in the converted hybrid vehicle. This work analyzes the impact of motor size and efficiency on fuel economy of three different converted hybrid vehicles, through simulation using rule-based control strategy. Results provide insight into the sensitivity of different-sized vehicles to the size and efficiency of the retrofitted electric motor.
{"title":"Influence of Motor Power and Efficiency on Fuel Consumption of Retrofit-Conversion Split-Parallel Hybrid Electric Vehicle","authors":"S. Zulkifli, S. Mohd, N. Saad, A. Aziz","doi":"10.1109/VPPC.2013.6671715","DOIUrl":"https://doi.org/10.1109/VPPC.2013.6671715","url":null,"abstract":"A split-axle parallel hybrid drivetrain with in- wheel motors allows for existing fuel-powered vehicles to be converted into a hybrid electric vehicle (HEV) with minor mechanical modification, to result in a retrofit-conversion HEV. This is achieved by placing electric motors in the hubs of the otherwise non-driven wheels. Due to the small design space of the wheel hub, the size and power of the in-wheel motor that can be installed is severely restricted to less than 10kW per wheel, raising the concern of actual performance in improvement in the converted hybrid vehicle. This work analyzes the impact of motor size and efficiency on fuel economy of three different converted hybrid vehicles, through simulation using rule-based control strategy. Results provide insight into the sensitivity of different-sized vehicles to the size and efficiency of the retrofitted electric motor.","PeriodicalId":119598,"journal":{"name":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127861308","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 : 2013-11-21DOI: 10.1109/VPPC.2013.6671722
Yingchao Zhang, Liping Jin, Y. Jing, Zhengming Zhao, T. Lu
This paper describes a new type charger for electric vehicle (EV) batteries. The three-level PWM rectifier used Metal-Oxide-Semiconductor-Field-Transistor (MOSFET) with direct power control based on space vector PWM (DPC-SVM) is adopted in the front-end PWM rectifier to achieve high power factor as well as reduce system cost, and full-bridge (FB) converter with phase-shifted zero-voltage zero-current-switching (ZVZCS) is applied to the back-end DC/DC converter to improve system efficiency. Decoupling control for instantaneous active and reactive powers of the grid is realized. Experimental results in 8kW prototype show that during the whole charging process, the system efficiency is higher than 85.1% and the input power factor is higher than 99.9%.
{"title":"Three-Level PWM Rectifier Based High Efficiency Batteries Charger for EV","authors":"Yingchao Zhang, Liping Jin, Y. Jing, Zhengming Zhao, T. Lu","doi":"10.1109/VPPC.2013.6671722","DOIUrl":"https://doi.org/10.1109/VPPC.2013.6671722","url":null,"abstract":"This paper describes a new type charger for electric vehicle (EV) batteries. The three-level PWM rectifier used Metal-Oxide-Semiconductor-Field-Transistor (MOSFET) with direct power control based on space vector PWM (DPC-SVM) is adopted in the front-end PWM rectifier to achieve high power factor as well as reduce system cost, and full-bridge (FB) converter with phase-shifted zero-voltage zero-current-switching (ZVZCS) is applied to the back-end DC/DC converter to improve system efficiency. Decoupling control for instantaneous active and reactive powers of the grid is realized. Experimental results in 8kW prototype show that during the whole charging process, the system efficiency is higher than 85.1% and the input power factor is higher than 99.9%.","PeriodicalId":119598,"journal":{"name":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"474 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133385091","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 : 2013-11-21DOI: 10.1109/VPPC.2013.6671658
Wang Liye, Wang Lifang, Li Yong
Accurate SOC estimation is the key function of a electric vehicle battery management system. The characteristics of EV battery in constant charge and discharge working conditions is investigated. And the the relationships between the battery SOC, terminal voltage and input/output current are established in the form of 3D lookup table. Then the basic principles of bilinear interpolation method are introduced. Finally, on the basis of the 3D lookup table, the bilinear interpolation method based battery SOC estimation algorithm is proposed. Computer simulation and real electric vehicle test tesults show that SOC estimation algorithm can obtain high estimation accuracy, and has high practical value in real-world electric vehicle working conditions.
{"title":"A Novel State-of-Charge Estimation Algorithm of EV Battery Based on Bilinear Interpolation","authors":"Wang Liye, Wang Lifang, Li Yong","doi":"10.1109/VPPC.2013.6671658","DOIUrl":"https://doi.org/10.1109/VPPC.2013.6671658","url":null,"abstract":"Accurate SOC estimation is the key function of a electric vehicle battery management system. The characteristics of EV battery in constant charge and discharge working conditions is investigated. And the the relationships between the battery SOC, terminal voltage and input/output current are established in the form of 3D lookup table. Then the basic principles of bilinear interpolation method are introduced. Finally, on the basis of the 3D lookup table, the bilinear interpolation method based battery SOC estimation algorithm is proposed. Computer simulation and real electric vehicle test tesults show that SOC estimation algorithm can obtain high estimation accuracy, and has high practical value in real-world electric vehicle working conditions.","PeriodicalId":119598,"journal":{"name":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122697171","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}