Comparing Dynamic Programming Optimal Control Strategies for a Series Hybrid Drivetrain
Paper in proceedings, 2017

A two-state forward dynamic programming algorithm is evaluated in a series hybrid drive-train application with the objective to minimize fuel consumption when look-ahead information is available. The states in the new method are battery state-of-charge and engine speed. The new method is compared to one-state dynamic programming optimization methods where the requested generator power is found such that the fuel consumption is minimized and engine speed is given by the optimum power-speed efficiency line. The other method compared is to run the engine at a given operating point where the system efficiency is highest, finding the combination of engine run requests over the drive-cycle that minimizes the fuel consumption. The work has included the engine torque and generator power as control signals and is evaluated in a full vehicle-simulation model based on the Volvo Car Corporation VSIM tool. Lowest fuel consumption is obtained by the new two-state method, with 12 % less fuel consumed compared to operating the engine in the system efficiency sweet spot.

Optimal Control

Energy Efficiency

Dynamic Programming (DP)

Hybrid Electric Vehicles

Series Hybrid


Rickard Arvidsson

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Chalmers, Applied Mechanics, Combustion

Tomas McKelvey

Chalmers, Signals and Systems

SAE Technical Papers

0148-7191 (ISSN)

Driving Forces

Sustainable development

Areas of Advance



Subject Categories

Vehicle Engineering

Embedded Systems

Control Engineering



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