Analysis and Matching of Electric Vehicle Dynamic Performance Based on CRUISE

2020 ◽  
Author(s):  
Fanbiao Bao ◽  
Baoshan Huang ◽  
Xinfeng Zou ◽  
Cande Lai
Keyword(s):  
Electric Vehicle ◽  
Dynamic Performance ◽  
Vehicle Dynamic

Dynamic Modeling and Simulation for Battery Electric Vehicles under Inverter Fault Conditions

2011 ◽  
Vol 110-116 ◽  
pp. 3007-3015
Author(s):  
Gwangmin Park ◽  
Byeongjeom Son ◽  
Daehyun Kum ◽  
Seonghun Lee ◽  
Sangshin Kwak
Keyword(s):  
Electric Vehicle ◽  
Dynamic Modeling ◽  
Electric Vehicles ◽  
Dynamic Performance ◽  
Vehicle Speed ◽  
Calibration Data ◽  
Vehicle Dynamic ◽  
Drive Mode ◽  
Modeling Simulation ◽  
Real Vehicle

This paper presents a dynamic modeling, simulation, and analysis of a Battery Electric Vehicle (BEV) according to vehicle dynamic characteristics. Mathematical model variants for the components of BEVs can be modeled and investigated using the Matlab/Simulink software. In order to compare the dynamic performance of BEVs under inverter fault and normal conditions, the CarSim co-simulation platform is configured with real vehicle calibration data. Using this approach, it was possible to quickly check for dynamic performance issues of an electric vehicle without incurring the time delay and cost. The simulation results such as motor output, vehicle speed/acceleration, and propulsion forces are discussed and compared for each drive mode.

The Pure Electric Vehicle Dynamic Performance Simulation

2012 ◽  
Vol 260-261 ◽  
pp. 353-356 ◽  
Author(s):  
Zhi Zhang ◽  
Min Rui Guo ◽  
Pei Zhang
Keyword(s):  
Electric Vehicle ◽  
Working Conditions ◽  
Dynamic Performance ◽  
Simulation Software ◽  
System Structure ◽  
Vehicle Dynamic ◽  
Performance Simulation ◽  
Electric Car ◽  
Vehicle Simulator ◽  
Simulation Results

Modeling and simulation technology is the key technical one of researching and developing pure electric car. Firstly analyzes system structure of the simulation software ADVISOR (Advanced Vehicle Simulator), use ADVISOR to model and simulate the dynamic performance of the pure electric vehicle. And then take a pure electric vehicle for example, mainly simulate the dynamic performance in the way of the typical working conditions CYC_UDDS, and compare dynamic performance simulation results under two different transmission, optimalize dynamic performance of pure electric vehicle.

scholarly journals Battery group parameter selection and dynamic simulation of pure electric vehicle

2018 ◽  
Vol 179 ◽  
pp. 01004
Author(s):  
Guo Minrui ◽  
Cheng Lei
Keyword(s):  
Electric Vehicle ◽  
Dynamic Performance ◽  
Resistance Coefficient ◽  
Simulation Software ◽  
Vehicle Design ◽  
Vehicle Dynamic ◽  
Driving Speed ◽  
Group Parameter ◽  
Air Resistance ◽  
Core Components

The battery pack is one of the core components of pure electric vehicle, dynamic performance of the whole vehicle is closely related to the matching design of the battery, and is affected by the air resistance coefficient and the windward area of the whole vehicle. The dynamic indicators include maximum driving speed, 0-100km/h acceleration time and climbing grade, the battery parameters are designed and matched before the vehicle design, mainly analyze influence on the vehicle dynamic performance of the types of batteries, air resistance coefficient, windward area by the simulation software ADVISOR, and optimize the combination of these parameters. The results show that the dynamic performance of the vehicle reaches the initial design index and the dynamic performance of the vehicle is improved significantly.

Design and Simulation of Pure Electric Vehicle Power System

2012 ◽  
Vol 608-609 ◽  
pp. 1541-1544
Author(s):  
Shi Gang Song ◽  
Xiao Ping Li ◽  
Ze Chang Sun
Keyword(s):  
Power System ◽  
Electric Current ◽  
Electric Vehicle ◽  
Normal State ◽  
Dynamic Performance ◽  
Maximum Speed ◽  
Vehicle Dynamic ◽  
Vehicle Model ◽  
Dynamic Performances ◽  
Design Requirements

According to pure electric vehicle dynamic requirements and the driving conditions, took an electric vehicle as an example, analyzed principle and method of power system with voltage, electric current, capacity and connection methods. Software ADVISOR was employed to establish vehicle model, analyzed dynamic performance under drive cycle conditions. Simulation result indicate that battery pack is in normal state, dynamic performances including acceleration performance, gradient ability, maximum speed, driving mileage are satisfied to design requirements. So the rationality and validity of the power system are demonstrated.

The Parameters Sensitivity Analysis of Battery Electric Vehicle Dynamic Performance

2011 ◽  
Vol 80-81 ◽  
pp. 837-840
Author(s):  
Ming Chen ◽  
Li Xin Guo
Keyword(s):  
Mathematical Model ◽  
Sensitivity Analysis ◽  
Research And Development ◽  
Electric Vehicle ◽  
Computational Methods ◽  
Dynamic Performance ◽  
Battery Electric Vehicle ◽  
Dynamic Parameters ◽  
Vehicle Dynamic ◽  
Basic Performance

Battery electric vehicle is to be researched and developed as the best alternative for fuel vehicle. Dynamic performance is the basic performance of a vehicle. In the prior period of research and development, studying on the sensitivity of relevant parameters to dynamic performance can determine the degree of influences that the relevant parameters have on it. This paper establishes mathematical model for the dynamic performance of battery electric vehicle, and deduces computational methods of the dynamic parameters sensitivity. Improving these parameters will provide the basis for improving the dynamic performance of battery electric vehicle.

scholarly journals A Component-Sizing Methodology for a Hybrid Electric Vehicle Using an Optimization Algorithm

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3147
Author(s):  
Kiyoung Kim ◽  
Namdoo Kim ◽  
Jongryeol Jeong ◽  
Sunghwan Min ◽  
Horim Yang ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Electric Vehicle ◽  
Optimization Algorithm ◽  
Hybrid Electric Vehicle ◽  
New Technologies ◽  
New Technology ◽  
Dynamic Performance ◽  
Minimum Principle ◽  
Component Sizing ◽  
Hybrid Electric

Many leading companies in the automotive industry have been putting tremendous effort into developing new powertrains and technologies to make their products more energy efficient. Evaluating the fuel economy benefit of a new technology in specific powertrain systems is straightforward; and, in an early concept phase, obtaining a projection of energy efficiency benefits from new technologies is extremely useful. However, when carmakers consider new technology or powertrain configurations, they must deal with a trade-off problem involving factors such as energy efficiency and performance, because of the complexities of sizing a vehicle’s powertrain components, which directly affect its energy efficiency and dynamic performance. As powertrains of modern vehicles become more complicated, even more effort is required to design the size of each component. This study presents a component-sizing process based on the forward-looking vehicle simulator “Autonomie” and the optimization algorithm “POUNDERS”; the supervisory control strategy based on Pontryagin’s Minimum Principle (PMP) assures sufficient computational system efficiency. We tested the process by applying it to a single power-split hybrid electric vehicle to determine optimal values of gear ratios and each component size, where we defined the optimization problem as minimizing energy consumption when the vehicle’s dynamic performance is given as a performance constraint. The suggested sizing process will be helpful in determining optimal component sizes for vehicle powertrain to maximize fuel efficiency while dynamic performance is satisfied. Indeed, this process does not require the engineer’s intuition or rules based on heuristics required in the rule-based process.

scholarly journals Multi-Objective Lightweight Optimization of Parameterized Suspension Components Based on NSGA-II Algorithm Coupling with Surrogate Model

Machines ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 107
Author(s):  
Rongchao Jiang ◽  
Zhenchao Jin ◽  
Dawei Liu ◽  
Dengfeng Wang
Keyword(s):  
Ride Comfort ◽  
Lightweight Design ◽  
Dynamic Performance ◽  
Vehicle Dynamic ◽  
Multi Objective Optimization ◽  
Original Design ◽  
Dynamic Simulations ◽  
Nsga Ii ◽  
Torsion Beam ◽  
Multi Objective

In order to reduce the negative effect of lightweighting of suspension components on vehicle dynamic performance, the control arm and torsion beam widely used in front and rear suspensions were taken as research objects for studying the lightweight design method of suspension components. Mesh morphing technology was employed to define design variables. Meanwhile, the rigid–flexible coupling vehicle model with flexible control arm and torsion beam was built for vehicle dynamic simulations. The total weight of control arm and torsion beam was taken as optimization objective, as well as ride comfort and handling stability performance indexes. In addition, the fatigue life, stiffness, and modal frequency of control arm and torsion beam were taken as the constraints. Then, Kriging model and NSGA-II were adopted to perform the multi-objective optimization of control arm and torsion beam for determining the lightweight scheme. By comparing the optimized and original design, it indicates that the weight of the optimized control arm and torsion beam are reduced 0.505 kg and 1.189 kg, respectively, while structural performance and vehicle performance satisfy the design requirement. The proposed multi-objective optimization method achieves a remarkable mass reduction, and proves to be feasible and effective for lightweight design of suspension components.

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