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Battery and energy management methodologies such as automotive climate controls have been proposed to address the design challenges of driving range and battery lifetime in Electric Vehicles (EV). However, driving behavior estimation is a major factor neglected in these methodologies. In this paper, we propose a novel contextaware methodology for estimating the driving behavior in terms of future...
Short term motion planners for automated vehicles typically require a reference path as input to optimize the ride quality between distinct vehicle states. This paper presents a novel approach to simplify the generation of such reference paths. It is based on the idea of converting the driving route and all relevant objects from the current vehicle's environment into a road-aligned coordinate system...
Developing electric vehicles (EVs) has been chosen as national strategy as solution to energy security and urban air pollution by China. China has invested much to develop electric vehicle technologies. For EVs' penetration, China government develop ‘ten-city one thousand-EVs’ demonstration program in 25 cities from 2008. For mass penetration of EVs, there still exist many challenges, especially for...
Model predictive control (MPC), also called moving horizon control or receding horizon control, is one of the most successful and the most popular advanced control methods. The basis of MPC is the online solution of a constrained optimization problem updated by the actual state. The obtained control is injected into the system until the next sampling time, while the procedure is repeated whenever...
When a modern vehicle is in use, its interconnected Electronic Control Units (ECUs) are effectively always on. By temporarily deactivating those ECUs, whose functions are not needed, we can contribute to a vehicle's energy efficiency and lower its fuel consumption as well as its emissions. FlexRay is an automotive bus system typically used to interconnect high-performance ECUs. FlexRay, however, does...
In order to give full play to the advantage of the all-wheel independent electric drive vehicle, the dual-steering control system has been designed. A hierarchical control structure, which integrates a goal design layer, a direct yawing moment determining layer, and a driving force distribution layer, is used in the vehicle control system. The dual-steering control system was verified in simulation...
The objective of this research is to propose a new and practical LQG control method for the vehicle active suspension. The novelty lies in optimizing the LQG controller without road input signal for the active suspension to improve practicability of LQG control method. Taking a quarter-vehicle model as an example, the control parameters of LQG controller without road input signal for the active suspension...
Improvement in braking performance and vehicle stability can be achieved through the use of braking systems whose brake force distribution is variable. Electronic braking force distribution has an important and serious role in the vehicle stopping distance and stability. In this paper a new approach will be presented to achieve the braking force distribution strategy for articulated vehicles. For...
In this paper, Stackelberg oligarch game method is applied to optimize a linear passive vehicle suspension model with eight DOF; taking seat acceleration RMS, tire's relative dynamic load and suspension's maximum dynamic stroke as objective functions, we established optimization design model and presented the optimal methods. Taking objectives as players, by calculating the affecting factors of the...
A method of lightweight design based on material selection and structural optimization is developed for engine hood inner panel. Introduced the decision-making mechanism of multi-objective satisfaction degree to lightweight material selection, built the model of finite element analysis and computer experiment analysis of the strength, stiffness and modal properties respectively to the different lightweight...
The paper mainly studies the use of genetic algorithm for the best match of automotive power train parameters, in order to improve the performance of the car. The author mainly explains the optimized theory and the method of using it in writing the computer program. And moreover, the author discusses the problems occurring in the object and gives the methods to solve them. A computer simulation program...
Over the past decades, the use of electronic systems in automotive vehicles has grown exponentially. Automotive systems engineering requires a sustainable integration of new methods, development processes, and tools that are specifically adapted to the automotive domain. This paper describes two approaches to the development of an automotive electronic system via a case study involving the modelling...
Active steering is a newly developed technology for passenger cars to enhance vehicle stability and handling performance. A fractional-order PIlambdaDmu control strategy is applied on active steering vehicle based on a multi-body vehicle dynamic model in this paper and the active control is expressed as a sum of PIlambda and PDmu control. The multi-body vehicle dynamic model using ADAMS can accurately...
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