An Electric Vehicle Routing Optimization Model With Hybrid Plug-In and Wireless Charging Systems
In order to address the inconvenience of having to stop to charge the battery of an electric vehicle, wireless on-road charging technology, also known as charge-while-driving, has garnered much attention in recent studies. However, wireless charging devices may have a higher charge cost than traditional plug-in charging devices. Therefore, a multi-objective route optimization model based on model predictive control is established in this paper to determine an optimal route for drivers to coordinate wireless and plug-in charging strategies. To reduce the complexity of the proposed model due to its bilinear terms, the Big-M approach is employed to exactly linearize the bilinear terms by introducing dummy variables and additional constraints, which leads to a mixed integer linear programming model that can be solved efficiently. Lastly, two systems are tested, including a real-world road map in Xi'an city to demonstrate the effectiveness of the proposed model.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC52-07NA27344; LLNL-JRNL-750227
- OSTI ID:
- 1839502
- Alternate ID(s):
- OSTI ID: 1477823
- Report Number(s):
- LLNL-JRNL-750227; 8360095
- Journal Information:
- IEEE Access, Journal Name: IEEE Access Vol. 6; ISSN 2169-3536
- Publisher:
- Institute of Electrical and Electronics EngineersCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
Similar Records
Route-Optimized Energy Management of Connected and Automated Multi-Mode Plug-In Hybrid Electric Vehicle Using Dynamic Programming
Planning Optimization for Inductively Charged On-demand Automated Electric Shuttles Project at Greenville, South Carolina