Robuschi, Nicolò (Politecnico di Milano), Salazar, Mauro (ETH Zürich), Duhr, Pol (ETH Zürich), Braghin, Francesco (Politecnico di Milano), Onder, Christopher Harald (Swiss Federal Institute of Technology Zurich (ETH Zürich))

Minimum-Fuel Engine On/Off Control for the Energy Management of a Hybrid Electric Vehicle Via Iterative Linear Programming

Scheduled for presentation during the Regular Session "Advances Control H.E.V & Applications" (MoBT2), Monday, June 24, 2019, 16:30−16:50, Chenonceau

9th IFAC International Symposium on Advances in Automotive Control, June 23-27, 2019, Orléans, France

This information is tentative and subject to change. Compiled on April 20, 2024

Abstract

In this paper we present models and optimization algorithms to rapidly compute the fuel-optimal energy management strategies of a hybrid electric powertrain for a given driving cycle. Specifically, we first identify a mixed-integer model of the system, including the engine on/off signal. Thereafter, by carefully relaxing the fuel-optimal control problem to a linear program, we devise an iterative algorithm to rapidly compute the minimum-fuel energy management strategies. We validate our approach by comparing its solution with the globally optimal one obtained solving the mixed-integer linear problem and demonstrate its effectiveness by assessing the impact of different battery charge targets on the achievable fuel consumption. Numerical results show that the proposed algorithm can assess fuel-optimal control strategies in a few seconds, paving the way for extensive parameter studies and real-time implementations.