Vehicle Performance Simulation and Optimization Including Tire Slip

1988 ◽  
Author(s):  
John M. Starkey ◽  
Scott Gray ◽  
David Watts
Keyword(s):  
Vehicle Performance ◽  
Performance Simulation ◽  
Simulation And Optimization

The Design Simulation and Parameter Matching Optimization of Electric Drive System for Heavy Off-Road Vehicle

2013 ◽  
Vol 483 ◽  
pp. 425-428
Author(s):  
Xiao Jing Ren ◽  
Li Ma
Keyword(s):  
Electric Drive ◽  
Optimization Model ◽  
Drive System ◽  
Road Vehicle ◽  
Performance Simulation ◽  
Simulation And Optimization ◽  
Electric Transmission ◽  
Electric Drive System ◽  
System Components ◽  
Parameter Matching

The performance simulation and optimization of electric transmission and drive system for multi-axle heavy off-road vehicle is studied. The simulation and optimization model of electric transmission and drive for 10*10 FWD of vehicle are established in CRUISE. And then the optimal preformation and parameters of the system components are obtained.

Optical performance simulation and optimization for CMOS image sensor pixels

Optik ◽  
2013 ◽  
Vol 124 (23) ◽  
pp. 6330-6332 ◽  
Author(s):  
Tie-Cheng Gao ◽  
Su-Ying Yao ◽  
Xiao-Lei Huo
Keyword(s):  
Cmos Image Sensor ◽  
Image Sensor ◽  
Optical Performance ◽  
Performance Simulation ◽  
Simulation And Optimization

Analyzing Drive Cycles for Hybrid Electric Vehicle Simulation and Optimization

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Benjamin M. Geller ◽  
Thomas H. Bradley
Keyword(s):  
Hybrid Electric Vehicle ◽  
Energy Use ◽  
Computational Cost ◽  
Vehicle Design ◽  
Optimized Design ◽  
Drive Cycle ◽  
Vehicle Performance ◽  
Design And Optimization ◽  
Simulation And Optimization ◽  
Vehicle Simulation

System design tools including simulation and component optimization are an increasingly important component of the vehicle design process, placing more emphasis on early stages of design to reduce redesign and enable more robust design. This study focuses on the energy use and power management simulations used in vehicle design and optimization. Vehicle performance is most often evaluated in simulation, physical testing, and certification using drive cycle cases (also known as dynamometer schedules or drive schedules). In vehicle optimization studies, the information included in each drive cycle has been shown to influence the attributes of the optimized vehicle, and including more drive cycles in simulation optimizations has been shown to improve the robustness of the optimized design. This paper aims to quantitatively understand the effect of drive cycles on optimization in vehicle design and to specify drive cycles that can lead to robust vehicle design with minimal simulation. Two investigations are performed in service of this objective; investigation 1 tests how different combinations of drive cycles affect optimized vehicle performance and design variables (DV); investigation 2 evaluates the use of stochastic drive cycles for improving the robustness of vehicle designs without adding computational cost to the design and optimization process.

The Energy Management Control Strategy of Hybrid Electrical Vehicle Based on Efficiency Optimal

2013 ◽  
Vol 645 ◽  
pp. 422-425
Author(s):  
Niao Na Zhang ◽  
Zhe Zhang ◽  
Dong Jie Feng ◽  
Zhi Cheng
Keyword(s):  
Control Strategy ◽  
Dynamic Performance ◽  
Vehicle Control ◽  
Management Control ◽  
Bench Test ◽  
System Efficiency ◽  
Vehicle Performance ◽  
Performance Simulation ◽  
Electrical Vehicle ◽  
Hybrid Electrical Vehicle

In order to save fuel and reduce emission of Hybrid Electrical Vehicle (HEV), a vehicle control strategy is proposed based on the system efficiency optimal. A vehicle performance simulation model has been built on Matlab/Simulink environment. The results show that, by using this vehicle control strategy, the dynamic performance and fuel economy of the vehicle are significantly improved compared with the traditional one. Finally, The vehicle control strategy has been verified by the bench test.

Performance Simulation for Electric Vehicle with Motorized Wheels with Cruise

2012 ◽  
Vol 184-185 ◽  
pp. 368-371
Author(s):  
Li Qiang Jin ◽  
Peng Fei Chen ◽  
Yu Long Liu
Keyword(s):  
Electric Vehicle ◽  
Consumption Rate ◽  
Control Strategies ◽  
Vehicle Performance ◽  
Performance Simulation ◽  
Vehicle Simulation ◽  
Calculation Results ◽  
Driving Range ◽  
Power And Energy ◽  
Energy Consumption Rate

Abstract：Dynamic Modeling of the electric vehicle with motorized wheels (EVMW) is different from the conventional one. Cruise is more and more widely used in the field of vehicle performance omputing. Its calculation results are so precise, it is convenient to use and easy to achieve the integration of control strategies and vehicle simulation. In this paper, a simulation model of EVMW is built by cruise. It is used to verify the matching parameters of EVMW, and calculate the vehicle power and energy consumption rate. The results show that the powertrain parameters meet the vehicle driving range requirements

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