Shortest path stochastic control for hybrid electric vehicles

Shortest path stochastic control for hybrid electric vehicles

Shortest Path Stochastic Control for Hybrid Electric Vehicles Ed Tate, J.W. Grizzle, Huei Peng Abstract: When a Hybrid Electric Vehicle (HEV) is certified for emissions and fuel economy, its power management system must be charge sustaining over the drive cycle, meaning that the battery state of charge (SOC) must be at least as high at the end of the test as it was at the beginning of the test....

The Shortest Path Problem Revisited: Optimal Routing for Electric Vehicles

Shortest path navigation algorithm for driverless plug-in electric vehicles

Driverless plug-in electric vehicles (DPEVs) have attracted a growing attention in transport engineering due to their low environmental impact and increased level of automation. When compared to regular internal combustion engine vehicles, DPEVs have two characteristics: 1) DPEVs require a higher frequency of recharge operations; 2) DPEVs are controlled by predetermined intelligent algorithms, ...

Stochastic Optimal Control of Parallel Hybrid Electric Vehicles

Energy management strategies (EMSs) in hybrid electric vehicles (HEVs) are highly related to the fuel economy and emission performances. However, EMS constitutes a challenging problem due to the complex structure of a HEV and the unknown or partially known driving cycles. To meet this problem, this paper adopts a stochastic dynamic programming (SDP) method for the EMS of a specially designed ve...

Minimum Cost Path Problem for Plug-in Hybrid Electric Vehicles

We introduce a practically important and theoretically challenging problem: finding the minimum cost path for plug-in hybrid electric vehicles (PHEVs) in a network with refueling and battery switching stations, considering electricity and gasoline as sources of energy with different cost structures and limitations. We show that this problem is NP-complete even though its electric vehicle and co...