Lucid Motors boosts electric vehicle performance with modeFRONTIER
Lucid Air prototypes are undergoing a rigorous development program. modeFRONTIER has been used - together with other applications - to optimize the design of an inverter with the aim of enhancing efficiency and minimize failure rates.
Numerical multi objective optimization of a squirrel cage induction motor for industrial application
This paper reports the optimization process of a MW-size, medium voltage, squirrel cage induction motor for industrial applications. The main optimization targets are the power density increase in the strict respect of given Oil&Gas international regulations. The optimization method is based on genetic multiobjective search, and involves key geometrical variables of the electromagnetic design, processed by means of a dedicated hybrid FEA and analytical algorithm; the optimization is based on the commercial software modeFRONTIER.
Conceptual Simulation for Plug-In HEV at Early Stage of Development
This study aims to build a conceptual simulation used at the early stage of PHEV development, to enable the precise prediction of fuel consumption and vehicle acceleration. The methodology used significantly contributes to design vehicle concept and to define system and component specifications.
Hybrid Electric Motors Optimization using modeFRONTIER
View case studies from top industry players have chosen ESTECO technology to effectively set up design tasks associated with EV/HEV systems and to quickly identify the right engineering strategies to cope with highly constrained design problems.
Design strategy for improving the energy efficiency in series hydraulic-electric synergy system
Current vehicle hybrid/electric systems present limitations due to poor regeneration energy savings. The Series Hydraulic/Electric Synergy System (SHESS) is potentially a valid option for improving the overall energy efficiency of HEVs. However, the highly complex nature of this mechatronic system requires considerable design effort to simultaneously maintain reliability, contain maintenance costs and effectively avoid energy loss.
Numerical Multi-objective Optimization of an Innovative Totally Enclosed Fan Cooled Induction Motor
The objective was to maximize the power of a TEFC (Totally Enclosed Fan Cooled) induction machine considering the API & SHELL performance and technical constraints and minimize the specific power cost in the oil and gas market segment.
Non-linear model predictive control of a power-split hybrid electric vehicle influence of conclusion of powertrain dynamics
The aim of this project is to analyze the performance of the MPC-based power management strategies on a power-split HEV. An optimization-based methodology for the 2-state MPC calibration was performed. The closed-loop simulation results show that fuel economy can be improved with respect to the 1-state MPC with a heuristic engine stop/start strategy.
Hybrid rocket lifts off with modeFRONTIER
Since the early 2000s, the Hybrid Propulsion Team at the University of Brasilia has been a pioneer in the development and test of hybrid rocket engines and small sounding rockets. By following a system design approach based on the multidisciplinary optimization technique, the Team has developed a conceptual hybrid rocket motor, attaining a valuable technological option for the reentry maneuvering system of SARA, the reusable satellite designed by the Brazilian Institute of Aeronautics and Space.
Development and validation of a parametric child anthropomorphic test device model representing 6-12-year-old children
In this study, a parametric ATD model capable of representing 6–12 YO children was developed using MADYMO. A more realistic representation of pelvis and abdomen geometry, modiﬁed joint stiffness and improved contact characteristics were added to a MADYMO model of the Hybrid-III 6 YO ATD.
Non-linear model predictive control of a power-split hybrid electric vehicle
This paper builds on the previous published works in which the authors had employed nonlinear model predictive control for the (sub)optimal power management of a power-split hybrid electric vehicle (HEV). In addition to the battery’s state of charge, in this work we include the effect of inertial powertrain dynamics in the control-oriented model that are usually ignored because of their fast dynamics.