Simultaneous optimisation of fuel consumption and emissions for a parallel hybrid electric SUV using fuzzy logic control

Abstract

Energy control strategy, especially for the driving power management, is one of the main issues in the design of Hybrid Electric Vehicles (HEVs). In order to reach the target of simultaneously optimizing both fuel consumption and emissions, an environment friendly and efficient Fuzzy Logic Control Strategy (FLCS) for a Parallel Hybrid Electric SUV is depicted in this paper. In this control strategy, an optimal torque provided by the Internal Combustion Engine (ICE) according to the driving conditions is firstly evaluated based on the ICE characteristics through dynamically choosing a set of weights on fuel consumption and emissions. Then, with the consideration of control-state constraints and other power components' characteristics, the acquired optimal torque is modified/ corrected by a fuzzy logic controller which has three fuzzy inputs: State of Charge (SOC), the driver's request driving torque and Electric Motor speed. Therefore, the actual required output torques of the ICE under different driving conditions are figured out. The proposed control strategy were modelled in Simulink and incorporated into the vehicle simulation software Advisor. The simulation results demonstrate that the proposed control strategy is more effective in overall comparing to the conventional Electric Assist Control Strategy (EACS).

Robust proportional ECMS control of a parallel hybrid electric vehicle

“…Rule-based methods are based on heuristics and engineering intuition which define how the powertrain should respond to each situation. Consequently, these strategies are easy to implement online but do not contain any explicit optimization [7]. Most-rule based HEV control methods are created with the goal in mind of reducing fuel consumption to the greatest degree.…”

“…Consequently, these strategies are easy to implement online but do not contain any explicit optimisation. 7 Most rule-based HEV control methods are created with the goal in mind of reducing fuel consumption to the greatest degree. As such, the rules defining the strategy are usually directed at employing the engine in its high-efficiency area, as well as exploiting regenerative braking as much as possible.…”

Simultaneous Optimization for Hybrid Electric Vehicle Parameters Based on Multi-Objective Genetic Algorithms

“…Derivative-free methods, such as genetic algorithms [6][7][8][9][10][11] or particle swarm optimization [12][13][14] have been proven to be a suitable approach to solve the HEV design optimization problem. However, most of these methods convert the multi-objective optimization problem into a single objective optimization problem by allocating weights to each of the objective functions (a priori methods).…”

Slide Mode and Fuzzy Logic Based Powertrain Controller for the Energy Management and Battery Lifetime Extension of Series Hybrid Electric Vehicles

“…The use of fuzzy logic can help circumvent the need for rigorous mathematical modeling. For series HEV, fuzzy logic could deal with the problem without very complicated tools and the nonlinear equation [Eren et al, 2009;Gao et al, 2008;Chen et al, 2008;Salmasi, 2006, 2008]. It will accomplish the whole procedure through several steps.…”