Algorithm based Calibration Strategies in an Electric Powertrain Paper No.: 2023-JL-02 Section Research Papers
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Abstract
The latest trend in the automobile industry is electric energy usage for vehicle propulsion. The electrical energy conversion to mechanical energy via motor is the currently accepted and safe technology. The major challenge for this is the component protection strategies. Components such as the motor, battery etc. need to be protected to enhance the life cycle of the vehicle. Also, vehicle safety is of much importance to avoid any fatalities arising with regards to the mishandling of the components. This study suffices the component protection by developing algorithmbased strategies. The algorithms are pre-fed to the controller. Development of smart motor and battery is proposed via Battery Thermal management system. The energy used is of both AC as well DC form. Energy sources for the electric energy generation are different namely, Batteries, Fuel cell etc. Energy generated through chemical reaction is stored in the battery and is eventually utilized.
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References
- Peter Maloney , “Objective determination of minimum engine mapping requirements for optimizal SI DIVCP Engine Calibration”, SAE International 2009, 01-0246
- Erica Klampfl et. all, “Engine calibration process optimization”, Ford Research & Advanced Engineering ,2101 Village Road, Dearborn, MI, U.S.A.
- Anselma, P.G.; Del Prete, M.; Belingardi, G. Battery High Temperature Sensitive Optimization-Based Calibration of Energy and Thermal Management for a Parallel-through-the-Road Plug-in Hybrid Electric Vehicle. Appl. Sci.2021, 11, 8593.
- Bilgin, B.; Magne, P.; Malysz, P.; Yang, Y.; Pantelic, V.; Preindl, M.; Korobkine, A.; Jiang,W.; Lawford, M.; Emadi, A. Making the Case for Electrified Transportation. IEEE Trans. Transp. Electrif. 2015, 1, 4–17. [CrossRef]
- Tran, M.-K.; Akinsanya, M.; Panchal, S.; Fraser, R.; Fowler, M. Design of a Hybrid Electric Vehicle Powertrain for Performance Optimization Considering Various Powertrain Components and Configurations. Vehicles 2020, 3, 20–32.
- Emadi, A. Advanced Electric Drive Vehicles; CRC Press: Boca Raton, FL, USA, 2014.
- Anselma, P.G.; Belingardi, G. Next Generation HEV Powertrain Design Tools: Roadmap and Challenges; SAE Technical Paper 2019-01-2602; SAE International: Warrendale, PA, USA, 2019.
- M Castgane et. all,”Comparison of Engine Calibration methods based on Design of experiments (DOE)”, Oil and Gas Science and Techonology, Vol 63, 2008
- Qichao dong et. all, “Calibration and optimization of an electric vehicle powertrain system”, Journal of Chinese institute of Engineers, 2018
- Ebbesen, S.; Elbert, P.; Guzzella, L. Battery State-of-Health Perceptive Energy Management for Hybrid Electric Vehicles. IEEE Trans. Veh. Technol. 2012, 61, 2893–2900.
- Onori, S.; Spagnol, P.; Marano, V.; Guezennec, Y.; Rizzoni, G. A new life estimation method for lithium-ion batteries in plug-in hybrid electric vehicles applications. Int. J. Power Electron. 2012, 4, 302.
- Tang, L.; Rizzoni, G.; Onori, S. Energy Management Strategy for HEVs Including Battery Life Optimization. IEEE Trans. Transp. Electrif. 2015, 1, 211–222.
- Zhang, S.; Hu, X.; Xie, S.; Song, Z.; Hu, L.; Hou, C. Adaptively coordinated optimization of battery aging and energy management in plug-in hybrid electric buses. Appl. Energy 2019, 256, 113891.