AMT Vehicle Research Articles

Performance optimization of mild hybrid passenger vehicle by dual control strategy for city driving cycle

The automobile industry is facing challenges owing to stringent emission regulations and adaptation to the evolving technologies. The launched hybrid vehicles are facing challenges regarding the cost-fuel benefit trade-off as well as the complexity in packaging the E-Machine between Internal Combustion Engine (ICE) and transmission system. The P3 hybrid configuration with AMT system is a way to achieve better drivability and fuel benefit. This paper focuses on development of Dual Control Strategy (DCS) for performance improvement in retrofitted 48 V P3 hybrid AMT vehicle. The DCS is developed based on rule based approach and Adaptive-Equivalent fuel Consumption Minimization Strategy (A-ECMS). The proposed control strategy includes decision making of mode shift between electric and ICE mode, optimal torque distribution between ICE and E-machine, equivalence cost factor computation with kinetic energy at the wheel and drivability consistency subjective to system limits during E-Creep, E-Launch and mode shift. The overall energy transfer efficiency to the wheels is improved by considering the global constraint, State of Charge (SOC) difference and the local constraint of 48 V battery, E-Machine and ICE. The 48 V P3 hybrid AMT vehicle with DCS can provide 10 kW power during torque assist or electric drive and −12 kW during recuperation or ICE mode, which results an elevated real time fuel economy by 66.7% and promises a improved driving performance in Bangalore city Driving Cycle (BDC).

New Approach of Comprehensive Shift Schedule Based on Electric Drive Automated Mechanical Transmission

According to different control objectives, shift schedules of dynamical and economical mode for electric-drive AMT vehicles is presented and a comprehensive shift schedule model is established with precise traction motor torque and speed experimental data. The state function and objective functional are established by using dynamic programming and variety of optimal shift schedules are solved for different control weights. The simulation results indicate that the vehicle performance with comprehensive shift schedule is better than the traditional method.

Data-Driven Design of Parity Space-Based FDI System for AMT Vehicles

Data-Driven Design of Parity Space-Based FDI System for AMT Vehicles

A Study on Control Strategy under Tip-In Condition Based on AMT Vehicle

The control strategy of gear-position optimization of an AMT vehicle under Tip-in condition is presented in this article. The down-shift principle of an automatic transmission under an acceleration condition is also analyzed. The in-the-loop simulation platform of transmission system software of an AMT vehicle is established using the Matlab/Simulink. The simulation platform mainly includes the vehicle load module and the control strategy module. The vehicle load module mainly includes the driver intention module, the transmission model, the engine model, the synchronizer model, the clutch model and the resistance model. The hard-acceleration condition is simulated under no deceleration condition by utilizing the optimized control strategy and conventional control strategy respectively. The result indicates that the proposed control strategy can identify a drivers intention, decrease shift times, reduce power interruption time, improve comfort and make the vehicle reach the maximum speed quickly.

Researching on Clutch Rotational Speed Signal Processing of AMT Vehicle

Aimed at clutch magnetoelectric tachometric transducer, rotational speed signal processing had achieved good results in hardware circuit and software algorithm two aspects. Firstly in hardware aspect RC Low-Pass Filter’s parameters are optimized by frequency-domain analysis of actual rotational speed signal according to vehicle travel features. As a result, useful information is reserved and high-frequency noise is shielded effectively. Secondly in software aspect, through analyzing the clutch control system’s characteristics and speed data’s structure, explicit Euler formula is adopted to predict the data’s structure. Maximum likelihood estimate of Mathematical Statistic Analysis is used to raise the data’s utilization and enhance the data’s robustness in order to provide the effective and stable parameters for clutch control.

Longitudinal Dynamic Model of AMT Vehicle for Following Condition

As an important part of vehicle following control system, vehicle longitudinal dynamic model had significant effect on the research and development phases. The clutch engaging and exhaust brake process of AMT vehicle represented strong nonlinearity, and the theoretical models were complex and depended on many parameters. Focusing on the requirement of following control system, the models of the two processes above were simplified for the engineering application by combining theoretical analysis and real vehicle test data to describe the dynamic processes. Finally, the vehicle model based on MATLAB was build and the comparative experiments were conducted. The comparative results show that the simulation results agree well with the real vehicle tests.

Lurch avoidance strategy and its implementation in AMT vehicles

Conventionally the control of dry clutch’s engagement during a standing start in AMT vehicles is assured by look-up tables whose values are carefully chosen to produce a smooth synchronisation at the expense of a long slipping time. This article proposes, instead, a new approach based on: an open-loop look-up table aiming to reduce the slipping time, combined with an observer-based optimal control assuring the engagement comfort. Particular attention has been given to the details of the on-line implementation on a Clio AMT prototype. Experimental results show both a close match between the predicted and the actual trajectories and a high level of comfort.

Observer-Based Optimal Control of Dry Clutch Engagement

Conventionally the control of dry clutch's engagement during a standing start in AMT vehicles is assured by look-up tables whose values are carefully chosen to produce a smooth synchronisation at the expense of a long slipping time. This article proposes, instead, a two phase approach: a first open-loop look-up table phase aiming to reduce the slipping time and a second observer-based optimal control phase assuring the engagement comfort. Particular attention has been given to the details of the on-line implementation on a Clio AMT prototype. Experimental results show both a close match between the predicted and the actual trajectories and a high level of comfort.

LURCH AVOIDANCE STRATEGY AND ITS IMPLEMENTATION IN AMT VEHICLES

Conventionally the control of dry clutch's engagement during a standing start in AMT vehicles is assured by look-up tables whose values are carefully chosen to produce a smooth synchronisation at the expense of a long slipping time. This article proposes, instead, a two phase approach: a first open-loop lookup table phase aiming to reduce the slipping time and a second observer-based optimal control phase assuring the engagement comfort. Particular attention has been given to the details of the on-line implementation on a Clio AMT prototype. Experimental results show both a close match between the predicted and the actual trajectories and a high level of comfort.

A Control Strategy on Starting up of Vehicle with Automatic Manual Transmissions (AMT)*

Recently, starting control takes an important role in the automatic manual transmission systems; clutch engagement control is the key of it. In order to improve the starting performance of AMT vehicle, clutch dynamic response must be control during the slipping phase. Therefore, this paper puts forward a control strategy for the dry clutch engagement process, considered as a finite time optimal control problem. The main idea of this strategy is to obtain a linear quadratic state feedback controller by solving the optimal control problem. The performance obtained with the proposed controller are compared with those achievable by means of a classical open loop control strategy. Moreover, different starting operating conditions are used to test the controller performance. Numerical simulations shows the good performance obtained by the proposed controller, which guarantees fast engagement, minimize the slip losses, reduce the fuel consumption and improve in the shift quality.