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M. Amir, T. Givargis (2017)
HES machine: Harmonic equivalent state machine modeling for cyber-physical systems2017 IEEE International High Level Design Validation and Test Workshop (HLDVT)
X. Lin, P. Bogdan, N. Chang, Massoud Pedram (2015)
Machine learning-based energy management in a hybrid electric vehicle to minimize total operating cost2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
Maral Amir, Tony Givargis (2017)
Hybrid state machine model for fast model predictive control: Application to path trackingProceedings of the International Conference on Design (ICCAD’17)
R. McDowell, R. Montgomery (2011)
Fundamentals of HVAC control systems
R. Montgomery, R. McDowall (2007)
Introduction to HVAC Control Systems
Google (2015)
The Google API web servicesRetrieved from developers.google.com/maps/documentation/webservices.
SIEMENS. (2015)
LMS ImagineRetrieved from www.plm.automation.siemens.com/en_us/products/lms/imagine-lab.
K. Vatanparvar, M. Faruque (2018)
Path to Eco-Driving: Electric Vehicle HVAC and Route Joint OptimizationIEEE Design & Test, 35
Kosmas Knoedler, Jochen Steinmann, Sylvain Laversanne, Stephen Jones, A. Huss, E. Kural, D. Sanchez, O. Bringmann, J. Zimmermann (2012)
Optimal energy management and recovery for FEV2012 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Hahnsang Kim, K. Shin (2009)
Scheduling of Battery Charge, Discharge, and Rest2009 30th IEEE Real-Time Systems Symposium
S. Chakraborty, M. Faruque, Wanli Chang, Dip Goswami, M. Wolf, Qi Zhu (2016)
Automotive Cyber–Physical Systems: A Tutorial IntroductionIEEE Design & Test, 33
S. Chakraborty, M. Lukasiewycz, C. Buckl, Suhaib Fahmy, N. Chang, Sangyoung Park, Younghyun Kim, P. Leteinturier, H. Adlkofer (2012)
Embedded systems and software challenges in electric vehicles2012 Design, Automation & Test in Europe Conference & Exhibition (DATE)
J. Neubauer, E. Wood (2014)
The impact of range anxiety and home, workplace, and public charging infrastructure on simulated battery electric vehicle lifetime utilityJournal of Power Sources, 257
M. Amir, T. Givargis (2017)
Hybrid state machine model for fast model predictive control: Application to path tracking2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
K. Vatanparvar, M. Faruque (2017)
ACQUA: Adaptive and cooperative quality-aware control for automotive cyber-physical systems2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
Sangyoung Park, Younghyun Kim, N. Chang (2013)
Hybrid energy storage systems and battery management for electric vehicles2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC)
S. Lukic, Jian Cao, R. Bansal, F. Rodriguez, A. Emadi (2008)
Energy Storage Systems for Automotive ApplicationsIEEE Transactions on Industrial Electronics, 55
Languang Lu, Xuebing Han, Jianqiu Li, Jianfeng Hua, M. Ouyang (2013)
A review on the key issues for lithium-ion battery management in electric vehiclesJournal of Power Sources, 226
Kosmas Knoedler, Jochen Steinmann, Sylvain Laversanne, Stephen Jones, Arno Huss, Emre Kural, David Sanchez, Oliver Bringmann, Jochen Zimmermann (2012)
Optimal energy management and recovery for FEVProceedings of the Conference on Design Automation and Test in Europe (DATE’12)
(2015)
The Google API web services. Retrieved from developers.google.com/maps/documentation/ webservices
K. Vatanparvar, Sina Faezi, Igor Burago, M. Levorato, M. Faruque (2019)
Extended Range Electric Vehicle With Driving Behavior Estimation in Energy ManagementIEEE Transactions on Smart Grid, 10
Mounir Zeraoulia, M. Benbouzid, D. Diallo (2005)
Electric Motor Drive Selection Issues for HEV Propulsion Systems: A Comparative StudyIEEE Transactions on Vehicular Technology, 55
Tesla Motors Inc (2015)
Tesla2015. Tesla Model S Spec. Retrieved from www.teslamotors.com.
(2017)
Test drive cycles
K. Vatanparvar, M. Faruque (2015)
Battery lifetime-aware automotive climate control for Electric Vehicles2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC)
Anthony Kelman, F. Borrelli (2011)
Bilinear Model Predictive Control of a HVAC System Using Sequential Quadratic ProgrammingIFAC Proceedings Volumes, 44
S. Chakraborty, M. Lukasiewycz, C. Buckl, S. Fahmy, P. Leteinturier, H. Adlkofer (2012)
Embedded systems and software challenges in electric vehiclesProceedings of the Conference on Design Automation and Test in Europe (DATE’12)
MathWorks (2015)
MATLAB, SimulinkRetrieved from www.mathworks.com.
K. Vatanparvar, Sina Faezi, Igor Burago, M. Levorato, M. Faruque (2017)
Driving behavior modeling and estimation for battery optimization in electric vehicles: work-in-progressProceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion
S. Lukic, A. Emadi (2004)
Effects of drivetrain hybridization on fuel economy and dynamic performance of parallel hybrid electric vehiclesIEEE Transactions on Vehicular Technology, 53
M. Lukasiewycz, S. Steinhorst, Sidharta Andalam, Florian Sagstetter, Peter Waszecki, Wanli Chang, M. Kauer, Philipp Mundhenk, Shanker Shreejith, Suhaib Fahmy, S. Chakraborty (2013)
System architecture and software design for Electric Vehicles2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC)
S. Pang, J. Farrell, Jie Du, M. Barth (2001)
Battery state-of-charge estimationProceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2
Anthony Kelman, Francesco Borrelli (2011)
Bilinear model predictive control of a HVAC system using sequential quadratic programmingProceedings of the International Federation of Automatic Control World Congress
K. Vatanparvar, M. Faruque (2017)
Electric Vehicle Optimized Charge and Drive ManagementACM Transactions on Design Automation of Electronic Systems (TODAES), 23
S. Lefèvre, D. Vasquez, C. Laugier (2014)
A survey on motion prediction and risk assessment for intelligent vehiclesROBOMECH Journal, 1
K. Vatanparvar, M. Faruque (2016)
OTEM: Optimized Thermal and Energy Management for Hybrid Electrical Energy Storage in Electric Vehicles2016 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Donghwa Shin, E. Macii, M. Poncino (2014)
Statistical battery models and variation-aware battery management2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)
(2015)
Nissan Leaf S Spec
K. Reif (2014)
Fundamentals of Automotive and Engine Technology
A. Millner (2010)
Modeling Lithium Ion battery degradation in electric vehicles2010 IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply
B. Ibrahim, M. Aziah, Salmiah Ahmad, Rini Akmeliawati, H. Nizam, A. Muthalif, S. Toha, M. Hassan (2012)
Fuzzy-based Temperature and Humidity Control for HV AC of Electric VehicleProcedia Engineering, 41
Ulrich Eberle, R. Helmolt (2010)
Sustainable transportation based on electric vehicle concepts: a brief overviewEnergy and Environmental Science, 3
D. Doerffel, S. Sharkh (2006)
A critical review of using the peukert equation for determining the remaining capacity of lead-acid and lithium-ion batteriesJournal of Power Sources, 155
K. Vatanparvar, Jiang Wan, M. Faruque (2015)
Battery-aware energy-optimal Electric Vehicle driving management2015 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)
M. Lorenz, D. Fiala, M. Spinnler, T. Sattelmayer (2014)
A Coupled Numerical Model to Predict Heat Transfer and Passenger Thermal Comfort in Vehicle Cabins
K. Cheng, B. Divakar, Hongjie Wu, K. Ding, H. Ho (2011)
Battery-Management System (BMS) and SOC Development for Electrical VehiclesIEEE Transactions on Vehicular Technology, 60
Luke Knibbs, Richard deDear, Steven Atkinson (2009)
Field study of air change and flow rate in six automobiles.Indoor air, 19 4
M. Faruque, K. Vatanparvar (2016)
Modeling, analysis, and optimization of Electric Vehicle HVAC systems2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC)
Thomas Levermore, A. Ordys, Jiamei Deng (2014)
A review of driver modelling2014 UKACC International Conference on Control (CONTROL)
(2015)
MATLAB, Simulink. Retrieved from www.mathworks.com
Massimo Petricca, Donghwa Shin, Alberto Bocca, A. Macii, E. Macii, M. Poncino (2014)
Automated generation of battery aging models from datasheets2014 IEEE 32nd International Conference on Computer Design (ICCD)
Yanzhi Wang, X. Lin, Massoud Pedram, N. Chang (2015)
Joint automatic control of the powertrain and auxiliary systems to enhance the electromobility in hybrid electric vehicles2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC)
Korosh Vatanpavar, Sina Faezi, Igor Burago, M. Levorato, M. Faruque (2017)
Work-in-progress: driving behavior modeling and estimation for battery optimization in electric vehicles2017 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)
Yanzhi Wang, Xue Lin, Qing Xie, Naehyuck Chang, Massoud Pedram (2014)
Minimizing state-of-health degradation in hybrid electrical energy storage systems with arbitrary source and load profilesProceedings of the Conference on Design Automation and Test in Europe (DATE’14)
John Wang, Ping Liu, Jocelyn Hicks-Garner, E. Sherman, Souren Soukiazian, M. Verbrugge, H. Tataria, J. Musser, Peter Finamore (2011)
Cycle-life model for graphite-LiFePO 4 cellsThe Lancet
John Hayes, R. Oliveira, S. Vaughan, Michael Egan (2011)
Simplified electric vehicle power train models and range estimation2011 IEEE Vehicle Power and Propulsion Conference
Mehdi Haghighi (2013)
Controlling Energy-Efficient Buildings in the Context of Smart Grid: A Cyber Physical System Approach
Yan Wang, Jianmin Jiang, Tingting Mu (2013)
Context-Aware and Energy-Driven Route Optimization for Fully Electric Vehicles via CrowdsourcingIEEE Transactions on Intelligent Transportation Systems, 14
Q. Xie, Yanzhi Wang, Younghyun Kim, Massoud Pedram, N. Chang (2013)
Charge Allocation in Hybrid Electrical Energy Storage SystemsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 32
K. Vatanparvar, M. Faruque (2016)
Eco-Friendly Automotive Climate Control and Navigation System for Electric Vehicles2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS)
Yanzhi Wang, X. Lin, Q. Xie, N. Chang, Massoud Pedram (2014)
Minimizing state-of-health degradation in hybrid electrical energy storage systems with arbitrary source and load profiles2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)
K. Huang, S. Tzeng, T. Jeng, Wing-Ding Chiang (2006)
Air-conditioning system of an intelligent vehicle-cabinApplied Energy, 83
Kohei Umezu, Hideto Noyama (2010)
Air-conditioning system for electric vehicles (i-MiEV)Proceedings of the SAE Automotive Alternate Refrigerant Systems Symposium.
(2011)
Electric vehicles: The phenomenon of range anxiety
Electric Vehicles (EV) as a zero-emission means of transportation encounter challenges in battery design that cause a range anxieties for the drivers. Besides the electric motor, the Heating, Ventilation, and Air Conditioning (HVAC) system is another major contributor to the power consumption that may influence the EV battery lifetime and driving range. In the state-of-the-art methodologies for battery management systems, the battery performance is monitored and improved. While in the automotive climate control, the passenger’s thermal comfort is the main objective. Hence, the influence of the HVAC power on the battery behavior for the purpose of jointly optimized battery management and climate control has not been considered. In this article, we propose an automotive climate control methodology that is aware of the battery behavior and performance, while maintaining the passenger’s thermal comfort. In our methodology, battery parameters and cabin temperature are modeled and estimated, and the HVAC utilization is optimized and adjusted with respect to the electric motor and HVAC power requests. Therefore, the battery stress reduces, while the cabin temperature is maintained by predicting and optimizing the system states in the near-future. We have implemented our methodology and compared its performance to the state-of-the-art in terms of battery lifetime improvement and energy consumption reduction. We have also conducted experiments and analyses to explore multiple control window sizes, drive profiles, ambient temperatures, and modeling error rates in the methodology. It is shown that our battery-aware climate control can extend the battery lifetime by up to 13.2% and reduce the energy consumption by up to 14.4%.
ACM Transactions on Embedded Computing Systems (TECS) – Association for Computing Machinery
Published: Jul 5, 2018
Keywords: Electric vehicle
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