基于Cruise的纯电动商用车动力系统仿真分析

为了提高纯电动汽车动力系统匹配与选型的精确性,提升动力系统动力、经济性分析效率,通过使用AVL-Cruise软件对某款纯电动商用车进行仿真分析与验证,从而快速验证整车最高车速、加速时间、最大爬坡度、耗电量等,根据验证结果,合理匹配动力总成、电池系统,极大地提高了动力匹配的准确性,缩短动力系统的研发周期。

Multiple Purpose Simulation for Electric Vehicles

Aim Toshorten integral design period of electric vehicles Methods The electric vehicle simulation program(EVSP), a modular user-friendly program which is written in Borland C++ OWL for Windows was developed. Results EVSP allows simulating the dynamic and the economy performance of electric vehicles.EVSP provides many kinds of data input module,a large components library of electric vehicles and several kinds of speed cycle with these library,it is easily to develop a new concept of different drive trains or even to compare or improve the existing electric vehicles. The paper simulated the performance of YW6120DD Electric Bus, and analyzed the test results comparing with simulation results Conclusion The simulation results indicate that the EVSP may contribute to the developments of electric vehicles in general and the definition of the optimal match management in the drive train in particular.

Parameters matching and optimization of parallel hybrid electric vehicle powertrain

Aiming at the development of parallel hybrid electric vehicle （PHEV） powertrain, parameter matching and optimization are presented, According to the performance of PHEV, the optimization range of engine, motor, driveline gear ratio and battery parameters are determined. And then a two-level optimization problem is formulated based on analytical target cascading （ATC）. At the system level, the optimization of the whole vehicle fuel economy is carried out, while the tractive performance is defined as the constraints. The optimized parameters are cascaded to the subsystem as the optimization targets. At the subsystem level, the final drive and transmission design are optimized to make the ratios as close to the targets as possible. The optimization result shows that the fuel economy had improved significantly, while the tractive performance maintains the former level.

A double-clutch hybrid drivetrain architecture, control, and simulation

Electmmechanical coupling system is one of the key technologies of hybrid electric vehicles. Among the existing electromechanical coupling systems, ISG system is recognized as the most practical one with the highest integration. However, the efficiency of ISG system is relatively low in pure-motor-drive mode. In this paper, a hybrid drivetrain with double clutches was proposed, in which a mode-clutch was installed between engine and motor as the mode switch, thus the efficiency in pure-motor-drive mode was improved. This paper discussed the architecture, modeling and control strategy of double-clutch drivetrain. The results of co-simulation by Cruise and Simulink showed that the fuel economy of the vehicle with this drivetrain was effectively improved compared to similar conventional vehicles.

Homophobia and Labor Market： Some Social-Economic AspectsHomophobia and Labor Market： Some Social-Economic Aspects

The sexual orientation discrimination in the labor market is a cause of failure and a source of inequity in the distribution of income and wealth. Discriminatory treatment of people belonging to a minority group leads to lower wages, and it interferes with their promotions and their productivity. The victims of discrimination are often professionally unvalued, and this can cause their eventual lack of growth for both position and salary, notwithstanding their abilities and creativeness would give a great impulse to the economics. In addition to this, the emotional and physical stress linked to （he concealing strategies of people, who are apt to conceal their homosexuality, increases their feelings of discomfort in the labor market. This paper analyzes the relation between sexual orientation and discrimination in the labor market from the theoretical and empirical points of view. It studies the results of a survey carried out in southern Italy and is based on the sample of 200 gay, lesbian, bisexual, and transgender （GLBT） employees.

Multi-objective parameter optimization for a single-shaft series-parallel plug-in hybrid electric bus using genetic algorithm

Recently, the single-shaft series-parallel powertrain of Plug-in Hybrid Electric Bus （PHEB） has become one of the most popu- lar powertrains due to its alterable operating modes, excellent fuel economy and strong adaptability for driving cycles. Never- theless, for configuring the PHEB with single-shaft series-parallel powertrain in the development stage, it still faces greater challenge than other configurations when choosing and matching the main component parameters. Motivated by this issue, a comprehensive multi-objectives optimization strategy based on Genetic Algorithm （GA） is developed for the PHEB with the typical powertrain. First, considering repeatability and regularity of bus route, the methods of off-line data processing and mathematical statistics are adopted, to obtain a representative driving cycle, which could well reflect the general characteristic of the real-world bus route. Then, the economical optimization objective is defined, which is consist of manufacturing costs of the key components and energy consumption, and combined with the dynamical optimization objective, a multi-objective op- timization function is put forward. Meanwhile, GA algorithm is used to optimize the parameters, for the optimal components combination of the novel series-parallel powertrain. Finally, a comparison with the prototype is carried out to verify the per- formance of the optimized powertrain along driving cycles. Simulation results indicate that the parameters of powertrain com- ponents obtained by the proposed comprehensive multi-objectives optimization strategy might get better fuel economy, meanwhile ensure the dynamic performance of PHEB. In contrast to the original, the costs declined by 18%. Hence, the strat- egy would provide a theoretical guidance on parameter selection for PHEB manufacturers.