IEEE Transactions on Vehicular Technology · 2015 · 41 citations · 19 references
EngineeringAutomotive EngineeringElectrical EngineeringDesign OptimizationOptimizationPowertrain EngineeringElectric Vehicle ArchitectureEnergy Management StrategiesEnergy-efficient DesignHybrid PowertrainsOptimization-based DesignVehicle Propulsion SystemsEnergy Management In Hybrid VehiclesFuel ConsumptionFuel Consumption ReductionGenetic Algorithm Based DesignGenetic Algorithm OptimizationHybrid Electric VehiclesHybrid Vehicle Energy ManagementOptimal Design
A way to improve existing hybrid vehicles is by globally optimizing the design of their components in relation to their actual use. This paper proposes a global optimal design method for power-split hybrid electric vehicles (PS-HEVs) equipped with an electric variable transmission (EVT). A genetic algorithm is used to optimize system parameters. The process includes discrete dynamic programming (DDP) for optimal energy management. The optimization focuses on minimizing fuel consumption and the number of battery cells. Pareto fronts are depicted and compared for different drive cycles, and they show the existence of a possible tradeoff between fuel consumption and battery size.
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