Techno-economic design of hybrid electric vehicles using multi objective optimization techniques

Abstract

Highlights:• Multi objective optimization is applied for optimal hybrid electric powertrain designs.• A holistic approach for optimal design and control strategies is presented on vehicle usages.• Hybrid electric vehicles can reach large range of efficiency -26% to 45%.• Hybrid electric vehicle can emit very low CO 2 emissions -30 g/km for D class vehicles. Abstract:The improvement of the efficiency of vehicle energy systems promotes an active search to find innovative solutions during the design process. Engineers can use computer-aided processes to find automatically the best design solutions. This kind of approach named "multi-objective optimization" is based on genetic algorithms. The idea is to obtain simultaneously a population of possible design solutions corresponding to the most efficient energy system definition for a vehicle. These solutions will be optimal from technical and economic point of view. In this article this kind of "genetic intelligence" is tested for the holistic design of the optimal vehicle powertrain solutions and their optimal operating strategies.The methodology is applied on D class hybrid electric vehicles, in order to define the powertrain configurations, to estimate the cost of the powertrain equipment and to show the environmental impact of the technical choices. The optimal designs and operating strategies are researched for different vehicle usages -normalized, urban and long way driving. Introduction:

Efficient integration of plug-in electric vehicles via reconfigurable microgrids

“…A Microgrid is defined as a group of interconnected loads and distributed energy resources (DER) which can operate either connected to or disconnected from the utility grid [1], and accordingly improve the quality of the electrical services to local customers from both operation and reliability points of view [2,3]. Some of the major benefits of microgrid deployments can be listed as fewer customer interruptions and improved reliability, lowered emissions, higher power quality, reduced operation costs, and higher efficiency [4,5].…”

Electric vehicles management enabling G2V and V2G in smart distribution system for maximizing profits using MOMVO

“…Its horrendous effect on world environment draws attention of researchers worldwide. For every incremental demand of energy, the environmental pollution becomes severely catastrophic . Different countries, both developed and developing ones, develop technologies to use electric vehicles in order to reduce carbon footprints as they produce no environment‐degrading greenhouse gases.…”

Predictive and holistic energy distribution for hybrid electric vehicles

“…The energy flow is computed backwards from the wheels to the energy sources. The model is introduced and explained in details by the author in [6] (Fig. 1).…”

“…3. The general computational approach has already been described in [6]. The superstructure contains a physical vehicle simulation model, with dynamic and thermal layouts.…”