Intelligent Control Strategy for Electric Motor Management to Improve Dry-Clutch Performance in Mild Hybrid Vehicles

2019 ◽  
Author(s):  
Mario Pisaturo ◽  
Adolfo Senatore
Keyword(s):  
Intelligent Control ◽  
Control Strategy ◽  
Electric Motor ◽  
Hybrid Vehicles ◽  
Dry Clutch ◽  
Mild Hybrid

scholarly journals Electric Motor and Dry Clutch Control in Launch Manoeuvres of Mild-Hybrid Vehicles Based on AMT/DCT Transmissions

2019 ◽  
Vol 7 (1) ◽  
pp. 65-81
Author(s):  
Mario Pisaturo ◽  
Adolfo Senatore
Keyword(s):  
Electric Vehicles ◽  
Electric Motor ◽  
Hybrid Electric Vehicles ◽  
Hybrid Vehicles ◽  
Fast Decay ◽  
Hybrid Propulsion ◽  
Dry Clutch ◽  
Clutch Control ◽  
Mild Hybrid ◽  
Thermal Level

Mild-Hybrid Electric Vehicles (mild-HEVs) earned market share over the last years an as effective roadmap to limit air pollution in big cities. In addition to this role, hybrid propulsion can be used to avoid dry clutch overheating in mild-HEVs equipped with automated manual transmissions. Indeed, high thermal level could result in serious damaging of dry clutch linings with very fast decay of expected lifespan affecting vehicle reliability. This paper shows results of vehicle launch simulations to highlight how the propulsion due to electric motor can effectively reduce clutch thermal stress during the slipping phase.

Analysis of Assistive Strategies for Electric Bikes That Include Rider’s Physiological Characteristics

2018 ◽  
Author(s):  
Andrea Zignoli ◽  
Lorenzo Beatrici ◽  
Francesco Biral
Keyword(s):  
Physical Activity ◽  
Intelligent Control ◽  
Control Strategy ◽  
Electric Motor ◽  
Control Strategies ◽  
Daily Basis ◽  
Physiological Characteristics ◽  
Control Algorithms ◽  
Electric Motors ◽  
Sedentary Population

Control strategies of electric-bikes (e-bikes) do not take the physiological characteristics (e.g. aerobic fitness status) of the rider into account. By means of mathematical modelling, our aim was to analyse different assistive strategies that include these characteristics. Particularly, we applied an Optimal Control (OC) algorithm to test whether an attentive control strategy could guarantee a sustainable effort for the rider throughout an entire climbing course with varying slope. We found that the contribution of the electric motor was pivotal during accelerations, so the effort for the kinetic energy conversion was shared between the electric motor and the cyclist. OC seems to fit very well in a scenario where e-bikes are adopted on a daily basis for commuting or to increase the level of physical activity in a sedentary population. We suggest that intelligent control algorithms, like OC, could be embedded in the electric motors to improve e-bike experience, especially in sedentary adults.

scholarly journals A novel acceleration-based mode selection approach in mild hybrid vehicles

2021 ◽  
Vol 1969 (1) ◽  
pp. 012062
Author(s):  
Pataparambath Noyalraj Shanu ◽  
Subramaniam Senthilkumar
Keyword(s):  
Mode Selection ◽  
Hybrid Vehicles ◽  
Selection Approach ◽  
Mild Hybrid

An electric motor thermal management system for hybrid vehicles: modelling and control

2016 ◽  
Vol 2 (3) ◽  
pp. 207 ◽  
Author(s):  
Xinran ( ◽  
N.A. William) ◽  
N.A. Tao ◽  
Kan Zhou ◽  
John R. Wagner ◽  
...  
Keyword(s):  
Thermal Management ◽  
Electric Motor ◽  
Management System ◽  
Hybrid Vehicles ◽  
Thermal Management System ◽  
And Control

Model of a neural network adaptive system for a digital control loop of an electric drive

2021 ◽  
Author(s):  
O.V. Nepomnyashchiy ◽  
A.V. Tarasov ◽  
Yu.V. Krasnobaev ◽  
V.N. Khaidukova ◽  
D.O. Nepomnyashchiy
Keyword(s):  
Neural Network ◽  
Intelligent Control ◽  
Electric Drive ◽  
Electric Motor ◽  
Control Device ◽  
System Control ◽  
Electric Transport ◽  
Control Loop ◽  
Software Environment ◽  
Power System Control

The problem of increasing the efficiency of power units of autonomous electric transport vehicles is considered. The task of creating a promising power system control device has been singled out. It is determined that in creating such devices, significant results can be obtained by using an intelligent module in the control loop of the electric drive. Goal. It is necessary to develop a power plant model with intelligent control, allowing to obtain data sets about currents, voltages and engine speeds in different modes of operation. The architecture of an intelligent control device, a PID controller based on a neural network, has been proposed; it has been proposed to exclude rotor angular velocity sensors from the classical feedback loop. The type and architecture of the neural network is defined. In the software environment MatLab the model of neuroemulator of the engine for formation of a training sample of a neural network by a method of Levenberg – Marquardt is developed. The trained neural network is implemented in the developed model of the electric motor control loop. The results of simulation of the intelligent control device showed a good convergence of the output influences generated by the neuroemulator with the actual parameters of the electric motor.

scholarly journals Development of a 48 V Integrated Starter Generator for Mild Hybrid Vehicles

2021 ◽  
Author(s):  
Masaya Inoue ◽  
Junji Kitao ◽  
Yoshihiro Miyama ◽  
Moriyuki Hazeyama ◽  
Hitoshi Isoda ◽  
...  
Keyword(s):  
Hybrid Vehicles ◽  
Starter Generator ◽  
Mild Hybrid

Attitude control strategy for unmanned wheel-legged hybrid vehicles considering the contact of the wheels and ground

2021 ◽  
pp. 095440702110583
Author(s):  
Hui Liu ◽  
Baoshuai Liu ◽  
Ziyong Han ◽  
Yechen Qin ◽  
Xiaolei Ren ◽  
...  
Keyword(s):  
Control Strategy ◽  
Attitude Control ◽  
Lower Layer ◽  
Hybrid Vehicles ◽  
The Body ◽  
Torque Control ◽  
Whole Body ◽  
Programming Algorithm ◽  
Contact Points ◽  
Motion Generator

During patrol and surveillance tasks, attitude control is crucial for improving the terrain adaptability of unmanned wheel-legged hybrid vehicles. This paper proposes an attitude control strategy for unmanned wheel-legged hybrid vehicles, considering the contact of the wheels and ground. The proposed method can naturally achieve torque control efficiently of each joint actuator and wheel-side actuator and avoid the discrepancy between off-road terrain and stability. First, an inverse kinematics model is established to resolve the body and each joint rotation angle, and the dynamic model is built based on the multi rigid body theory, considering the contact points planning of wheel and ground. Considering the nonholonomic constraint of the structure scheme, a hierarchical real-time attitude controller for a wheel-legged vehicle is proposed. The upper layer calculates the contact points of each wheel and the ground through the quadratic programming algorithm, and the lower layer is divided into a legged motion generator and a wheel motion generator by a mathematical analysis method. Finally, the proposed method is applied to achieve the tracking and control of the whole-body trajectory. The proposed strategy can achieve the decoupling of wheeled motion generator and legged motion generator, and improve control efficiency.

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