Route-Optimized Energy Management of Connected and Automated Multi-Mode Plug-In Hybrid Electric Vehicle Using Dynamic Programming

Rama, Neeraj; Wang, Huanqing; Orlando, Joshua; Robinette, Darrell; Chen, Bo

doi:10.4271/2019-01-1209

Route-Optimized Energy Management of Connected and Automated Multi-Mode Plug-In Hybrid Electric Vehicle Using Dynamic Programming

Journal Article · Tue Apr 02 00:00:00 EDT 2019 · Society of Automotive Engineers Technical Paper Series

DOI:https://doi.org/10.4271/2019-01-1209· OSTI ID:1572169

Rama, Neeraj ^[1]; Wang, Huanqing ^[2]; Orlando, Joshua ^[2]; Robinette, Darrell ^[2]; Chen, Bo ^[2]

Michigan Technological Univ., Houghton, MI (United States); Michigan Technological University
Michigan Technological Univ., Houghton, MI (United States)

This paper presents a methodology to optimize the blending of charge-depleting (CD) and charge-sustaining (CS) modes in a multi-mode plug-in hybrid electric vehicle (PHEV) that reduces overall energy consumption when the selected route cannot be completely driven in all-electric mode. The PHEV used in this investigation is the second-generation Chevrolet Volt and as many as four instrumented vehicles were utilized simultaneously on road to acquire validation data. The optimization method used is dynamic programming (DP) paired with a reduced-order powertrain model to enable onboard embedded controller compatibility and computational efficiency in optimally blending CD, CS modes over the entire drive route. The objective of the optimizer is to enable future Connected and Automated Vehicles (CAVs) to best utilize onboard energy for minimum overall energy consumption based on speed and elevation profile information from Intelligent Transportation Systems (ITS), Internet of Things (IoT), High-definition Mapping, and onboard sensing technologies. Emphasis is placed on runtime minimization to quickly react and plan an optimal mode scheme in highly dynamic road conditions with minimal computational resources. On-road performance of the optimizer paired with automated CD and CS mode selection is evaluated on a fleet of four instrumented Chevrolet Volts in a variety of driving scenarios. Here, the results indicate variable energy savings depending on the drive route and initial battery SOC with potential ranging between 2 to 12% and less than 7 seconds initial optimization for a 24-mile drive cycle.

Research Organization:: Michigan Technological Univ., Houghton, MI (United States)

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

Grant/Contract Number:: AR0000788

OSTI ID:: 1572169

Journal Information:: Society of Automotive Engineers Technical Paper Series, Journal Name: Society of Automotive Engineers Technical Paper Series Vol. 1; ISSN 0148-7191

Publisher:: SAE InternationalCopyright Statement

Country of Publication:: United States

Language:: English

References (12)

Reduced Order Methods for Modeling and Computational Reduction Quarteroni, Alfio; Rozza, Gianluigi MS&A, Vol. 9 https://doi.org/10.1007/978-3-319-02090-7	book	December 2013
Control of connected and automated vehicles: State of the art and future challenges Guanetti, Jacopo; Kim, Yeojun; Borrelli, Francesco Annual Reviews in Control, Vol. 45 https://doi.org/10.1016/j.arcontrol.2018.04.011	journal	January 2018
A control benchmark on the energy management of a plug-in hybrid electric vehicle Sciarretta, A.; Serrao, L.; Dewangan, P. C. Control Engineering Practice, Vol. 29 https://doi.org/10.1016/j.conengprac.2013.11.020	journal	August 2014
Commuter Route Optimized Energy Management of Hybrid Electric Vehicles Larsson, Viktor; Johannesson Mardh, Lars; Egardt, Bo IEEE Transactions on Intelligent Transportation Systems, Vol. 15, Issue 3 https://doi.org/10.1109/TITS.2013.2294723	journal	June 2014
Classification and Review of Control Strategies for Plug-In Hybrid Electric Vehicles Wirasingha, Sanjaka G.; Emadi, Ali IEEE Transactions on Vehicular Technology, Vol. 60, Issue 1 https://doi.org/10.1109/TVT.2010.2090178	journal	January 2011
Energy Management for a Power-Split Plug-in Hybrid Electric Vehicle Based on Dynamic Programming and Neural Networks No authors listed IEEE Transactions on Vehicular Technology, Vol. 63, Issue 4 https://doi.org/10.1109/TVT.2013.2287102	journal	May 2014
Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective Martinez, Clara Marina; Hu, Xiaosong; Cao, Dongpu IEEE Transactions on Vehicular Technology, Vol. 66, Issue 6 https://doi.org/10.1109/TVT.2016.2582721	journal	June 2017
Connectivity-Enhanced Route Selection and Adaptive Control for the Chevrolet Volt No authors listed Journal of Traffic and Transportation Engineering, Vol. 4, Issue 1 https://doi.org/10.17265/2328-2142/2016.01.006	journal	January 2016
Comparing Two Approaches to Precompute Discharge Strategies for Plug-in Hybrid Electric Vehicles Larsson, Viktor; Mårdh, Lars Johannesson; Egardt, Bo IFAC Proceedings Volumes, Vol. 46, Issue 21 https://doi.org/10.3182/20130904-4-JP-2042.00114	journal	January 2013
The Next Generation “Voltec” Extended Range EV Propulsion System Conlon, Brendan M.; Blohm, Trevor; Harpster, Michael SAE International Journal of Alternative Powertrains, Vol. 4, Issue 2 https://doi.org/10.4271/2015-01-1152	journal	April 2015
Next Generation Voltec Electric Machines; Design and Optimization for Performance and Rare-Earth Mitigation Jurkovic, Sinisa; Rahman, Khwaja; Patel, Nitin SAE International Journal of Alternative Powertrains, Vol. 4, Issue 2 https://doi.org/10.4271/2015-01-1208	journal	April 2015
Development of the Combustion System for General Motors' High-Efficiency Range Extender Ecotec Small Gas Engine Jocsak, Jeffrey; White, David; Armand, Cedric SAE International Journal of Engines, Vol. 8, Issue 4 https://doi.org/10.4271/2015-01-1272	journal	January 2015

Similar Records

PHEV Real World Driving Cycle Energy and Fuel and Consumption Reduction Potential for Connected and Automated Vehicles

Journal Article · Tue Apr 02 00:00:00 EDT 2019 · Society of Automotive Engineers Technical Paper Series · OSTI ID:1572168

Important powertrain dynamics for developing models for control of connected and automated electrified vehicles

Journal Article · Sat Jan 08 23:00:00 EST 2022 · Proceedings of the Institution of Mechanical Engineers. Part D, Journal of Automobile Engineering · OSTI ID:2418407

Connectivity-Enhanced Route Selection and Adaptive Control for the Chevrolet Volt: Preprint

Conference · Mon Sep 01 00:00:00 EDT 2014 · OSTI ID:1155122

Related Subjects

33 ADVANCED PROPULSION SYSTEMS

Route-Optimized Energy Management of Connected and Automated Multi-Mode Plug-In Hybrid Electric Vehicle Using Dynamic Programming

Citation Formats

References (12)

Similar Records

Related Subjects