Dynamic Performance Comparison Between In-Wheel and On-Board Motor Battery Electric Vehicles

2020 ◽  
Author(s):  
Henrique de Carvalho Pinheiro ◽  
Pedro Gabriel Castro dos Santos ◽  
Lorenzo Sisca ◽  
Santo Scavuzzo ◽  
Alessandro Ferraris ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Performance Indicators ◽  
Dynamic Performance ◽  
Numerical Approach ◽  
Performance Comparison ◽  
Simulation Approach ◽  
Vehicle Dynamic ◽  
Battery Electric Vehicles ◽  
Full Vehicle ◽  
Full Throttle

Abstract This paper intends to present a novel full-vehicle numerical approach for in-wheel and on-board motor Battery Electric Vehicle (BEV) powertrain architectures, which overcomes the electrical and mechanical deficits widely present in the current literature. Namely, neglecting of the interaction between mechanical and electrical phenomena and its impact on the vehicle dynamic performance. A co-simulation approach is employed: whereas the mechanical systems and their interactions are simulated with Adams Car, the electrical phenomena are solved by MATLAB/Simulink. The investigation is conducted over a full throttle maneuver by monitoring a set of performance indicators.

Dynamic Performance Comparison Between In-Wheel and On-Board Motor Battery Electric Vehicles

2021 ◽  
Author(s):  
Henrique De Carvalho Pinheiro ◽  
Pedro Gabriel Castro Dos Santos ◽  
Lorenzo Sisca ◽  
Santo Scavuzzo ◽  
Alessandro Ferraris ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Dynamic Performance ◽  
Performance Comparison ◽  
Battery Electric Vehicles

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.

scholarly journals A chaotic particle swarm optimization algorithm for solving optimal power system problem of electric vehicle

2019 ◽  
Vol 11 (3) ◽  
pp. 168781401983350 ◽  
Author(s):  
Tianjun Zhu ◽  
Hongyan Zheng ◽  
Zonghao Ma
Keyword(s):  
Particle Swarm Optimization ◽  
Electric Vehicles ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Dynamic Performance ◽  
Particle Swarm ◽  
Vehicle Dynamic ◽  
Swarm Optimization ◽  
Simulation Results ◽  
Chaotic Particle Swarm Optimization

Transportation of electrification has become a hot issue in recent decades and the large-scale deployment of electric vehicles has yet to be actualized. This article proposes a powertrain parameter optimization design approach based on chaotic particle swarm optimization algorithm. To improve the driving and economy performance of pure electric vehicles, chaotic particle swarm optimization algorithm is adopted in this study to optimize principal parameters of vehicle power system. Vehicle dynamic performance simulations were carried out in the Cruise software, and the simulation results before and after optimization were compared. Simulation results show that optimized vehicles by chaotic particle swarm optimization can meet the expected dynamic performance and the driving range has been greatly improved. Meanwhile, it is also viable that the parameters of the optimal objective function can achieve the purpose of balancing the driving performance and economic performance, which provides a reference for the development of vehicle dynamic performance.

scholarly journals Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yong Wang ◽  
Hongguo Cai ◽  
Yinghua Liao ◽  
Jun Gao
Keyword(s):  
Computer Simulation ◽  
Electric Vehicles ◽  
Power Transmission ◽  
Dynamic Performance ◽  
Optimization Method ◽  
Transmission System ◽  
Vehicle Dynamic ◽  
Transmission Scheme ◽  
Electric Transmission ◽  
Powertrain System

Equipped with two power sources, the dual-driving powertrain system for pure electric vehicles has a driving mode different from traditional electric vehicles. Under the premise that the structural form of the transmission system remains unchanged, the following transmission schemes can be adopted for double drive electric vehicles according to the demand power: the main and auxiliary electric transmission scheme (two motors are driven separately with dual-motor coupling drive), the transmission scheme in which the two motors always maintain coupling drive, and the speed-regulating type electric transmission scheme (the main motor is always responsible for driving, and the auxiliary motor is responsible for speed regulation). Therefore, a significant difference exists in the design methods of the power transmission system of double drive electric vehicles and existing vehicles. As for such differences, this paper adopts intelligent algorithm to design the parameters of the transmission system and introduces the genetic algorithm into the optimization design of parameters to obtain the optimal vital parameters of the power transmission system based on computer simulation. The prototype car used in this paper is a self-owned brand car; MATLAB/Simulink platform is used to build the vehicle simulation model, which is used for the computer simulation analysis of the vehicle dynamic performance and economy. It can be seen from the analysis result that the system parameters obtained by using the global optimization method proposed in this study can improve the vehicle dynamic performance and economic performance to varying degrees, which proves the efficiency and feasibility of the optimization method.

Energy recovery for battery electric vehicles

2008 ◽  
Vol 222 (10) ◽  
pp. 1827-1839 ◽  
Author(s):  
M Ye ◽  
Z-F Bai ◽  
B-G Cao
Keyword(s):  
Electric Vehicles ◽  
Robust Stability ◽  
Energy Recovery ◽  
Dynamic Performance ◽  
Efficient Energy ◽  
Battery Electric Vehicles ◽  
Hybrid Controller ◽  
Recovery System ◽  
Driving Range ◽  
The Mathematical Model

An efficient energy recovery system for battery electric vehicles (BEVs) is developed and tested. The principle and characteristics are analysed in detail. Then the mathematical model is derived step by step. Combining the merits and the defects of H2 optimal control and H∞ robust control, the robust hybrid controller is designed to guarantee both the system performance and the robust stability. The comparative simulated and experimental results showed that the dynamic performance and robust stability of the proposed scheme were superior to those of the proportional-integral method; the vehicle recycled more kinetic energy during braking and the driving range was increased.

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