2020/04/04 by Nikolce Murgovski, Razi, Maryam, Murgovski, Nikolce +4
Engineering · #Advanced Battery Technologies Research #Electric Vehicles and Infrastructure #Electric and Hybrid Vehicle Technologies #FOS: Electrical engineering #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2004.01921
openalex publication_date 2020/04/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper presents an adaptive equivalent consumption minimization strategy\n(ECMS) and a linear quadratic tracking (LQT) method for optimal power-split\ncontrol of combustion engine and electric machine in a hybrid electric vehicle\n(HEV). The objective is to deliver demanded torque and minimize fuel\nconsumption and usage of service brakes, subject to constraints on actuator\nlimits and battery state of charge (SOC). We derive a function for calculating\nmaximum deliverable torque that is as close as possible to demanded torque and\npropose modeling SOC constraints by tangent or logarithm functions that provide\nan interior point to both ECMS and LQT. We show that the resulting objective\nfunctions are convex and we provide analytic solutions for their second order\napproximation about a given reference. We also consider robustness of the\ncontrollers to measurement noise using a simple model of noise. Simulation\nresults of the two controllers are compared and their effectiveness is\ndiscussed.\n