Vehicle Energy Management with Ecodriving: A Sequential Quadratic Programming Approach with Dual Decomposition

Abstract

In this paper, we propose to solve the ecodriving problem using a Sequential Quadratic Programming (SQP) algorithm. We formulate the ecodriving problem as a discrete-time (possibly nonconvex) nonlinear optimal control problem, and form convex SQP subproblems by using a linearized objective function with Thikhonov regularization. We will further show that the SQP algorithm can be embedded in a distributed optimization approach, allowing it to be used for Complete Vehicle Energy Management (CVEM), incorporating optimal control of the vehicle's auxiliary systems, in combination with ecodriving. We consider two case studies for the ecodriving problem. The first case study concerns the optimal control of a full electric vehicle, which has one control input and two states and is solved with the SQP algorithm. The second case study lays a foundation for CVEM with ecodriving, where we solve an energy management problem with ecodriving for a series-hybrid electric vehicle, using the aforementioned SQP algorithm and dual decomposition.