This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
“Just-in-Time” Battery Charge Depletion Control for PHEVs and E-REVs for Maximum Battery Life
Technical Paper
2009-01-1384
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Conventional methods of vehicle operation for Plug-in Hybrid Vehicles first discharge the battery to a minimum State of Charge (SOC) before switching to charge sustaining operation. This is very demanding on the battery, maximizing the number of trips ending with a depleted battery and maximizing the distance driven on a depleted battery over the vehicle's life. Several methods have been proposed to reduce the number of trips ending with a deeply discharged battery and also eliminate the need for extended driving on a depleted battery. An optimum SOC can be maintained for long battery life before discharging the battery so that the vehicle reaches an electric plug-in destination just as the battery reaches the minimum operating SOC. These “Just-in-Time” methods provide maximum effective battery life while getting virtually the same electricity from the grid.
Recommended Content
Citation
DeVault, R., "“Just-in-Time” Battery Charge Depletion Control for PHEVs and E-REVs for Maximum Battery Life," SAE Technical Paper 2009-01-1384, 2009, https://doi.org/10.4271/2009-01-1384.Also In
References
- “Plug-In Hybrid Electric Vehicle Value Proposition Study: Interim Report: Phase I Scenario Evaluation” 2008
- “GM Study Shows E-REVs Could Cut PHEV Real-World Fuel Consumption by More Than 50%” Green Car Congress 2008
- “Plug-In Hybrid Electric Vehicle R&D Draft Plan” US Department of Energy 2007
- Argonne National Laboratory “Energy Storage Research and Development - 2007 Annual Progress Report” U.S. Department of Energy 2008
- Pesaran, Ahmad “Battery Requirements for Plug-In Hybrid Electric Vehicles - Analysis and Rationale” 2007
- O'Keefe, M Markel, T “Dynamic Programming Applied to Investigate Energy Management Strategies for a Plug-In HEV” 2006
- Duoba, M Carlson, R Wu, J “Test Procedures and Benchmarking Blended-Mode and EV-Capable PHEVs” Argonne National Laboratory 2007
- Gonder, J Markel, T “Energy Management Strategies for Plug-In Hybrid Electric Vehicles” SAE Paper 2007-01-0290 2007
- Vyas, A Santini, D “Use of National Surveys For Estimating “Full” PHEV Potential For Oil Use Reduction” Plug-In 2008 Conference San Jose, California 2008
- Gonder, J “Route-Based Control of Hybrid Electric Vehicles” NREL SAE World Congress 2008
- Isono, H Seto, K Kodaira, T Takakuwa, K “Moving body energy management apparatus and moving body energy management method” Toyota 2006
- DeVault, R “Self Learning Control System For Plug-In Hybrid Vehicles” United States Department of Energy and U.T. Battelle LLC 2007
- Gonder, J. Markel, T. Simpson, A. Thornton M “Using GPS Travel Data to Assess the Real World Driving Energy Use of Plug-In Hybrid Electric Vehicles (PHEVs)” Transportation Research Board (TRB) 86th Annual Meeting Washington, D.C. 2007
- Salman, M Chen, J Chang, M “Predictive energy management system for hybrid electric vehicles” General Motors Corporation 2004
- Patel, V. “Method and improving fuel economy in hybrid vehicles” General Motors Corporation 2007
- Torre-Bueno, J. “Inputs for optimizing performance in hybrid vehicles” 2006
- Krumm, J Horvitz, E “Methods For Predicting Destinations From Partial Trajectories Employing Open- And Closed-World Modeling Methods” Microsoft Corporation 2006