Convex Optimization for the Energy Management of Hybrid Electric Vehicles Considering Engine Start and Gearshift Costs
Open Access
- 18 February 2014
- Vol. 7 (2), 834-856
- https://doi.org/10.3390/en7020834
Abstract
This paper presents a novel method to solve the energy management problem for hybrid electric vehicles (HEVs) with engine start and gearshift costs. The method is based on a combination of deterministic dynamic programming (DP) and convex optimization. As demonstrated in a case study, the method yields globally optimal results while returning the solution in much less time than the conventional DP method. In addition, the proposed method handles state constraints, which allows for the application to scenarios where the battery state of charge (SOC) reaches its boundaries.This publication has 32 references indexed in Scilit:
- Gear shift map design methodology for automotive transmissionsProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2013
- Hybrid-Electric Vehicle with Natural Gas-Diesel EngineEnergies, 2013
- Comparative Study of Dynamic Programming and Pontryagin’s Minimum Principle on Energy Management for a Parallel Hybrid Electric VehicleEnergies, 2013
- Combined Optimal Sizing and Control for a Hybrid Tracked VehicleEnergies, 2012
- Control of hybrid electric vehiclesIEEE Control Systems, 2007
- Optimization of power management in an hybrid electric vehicle using dynamic programmingMathematics and Computers in Simulation, 2006
- Power management strategy for a parallel hybrid electric truckIEEE Transactions on Control Systems Technology, 2003
- Fuzzy logic control for parallel hybrid vehiclesIEEE Transactions on Control Systems Technology, 2002
- ADVISOR 2.1: a user-friendly advanced powertrain simulation using a combined backward/forward approachIEEE Transactions on Vehicular Technology, 1999
- Fuzzy-logic-based torque control strategy for parallel-type hybrid electric vehicleIEEE Transactions on Industrial Electronics, 1998