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Filters
Huber-Based Robust Unscented Kalman Filter Distributed Drive Electric Vehicle State Observation
2021
Energies
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To improve the accuracy of state parameter estimation for distributed drive electric vehicles, an unscented Kalman filter (UKF) algorithm combined with the Huber method is proposed. ...
In this paper, we introduce the nonlinear modified Dugoff tire model, build a nonlinear three-degrees-of-freedom time-varying parametric vehicle dynamics model, and extend the vehicle mass, the height ...
time and improves the robustness and estimation accuracy of the algorithm. ...
doi:10.3390/en14030750
fatcat:vt7gegmufzbk7ck2jvvqkxqvge
Intelligent Two-step Estimation Approach for Vehicle Mass and Road Grade
2020
IEEE Access
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The equivalent resistance coefficient and vehicle mass are estimated simultaneously by RLS. ...
, driving force and various resistances acting on the vehicle during longitudinal driving, and it is assumed that there is no wheel slip. ...
doi:10.1109/access.2020.3042656
fatcat:y7ygz7ypwnajloge7h3hthnwdq
Vehicle mass estimation using a total least-squares approach
2012
2012 15th International IEEE Conference on Intelligent Transportation Systems
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The results of six test runs on various vehicle masses show highly accurate mass estimation results on high and low dynamics of vehicular operation. ...
We introduce an incremental total least-squares vehicle mass estimation algorithm, based on a vehicle longitudinal dynamics model. ...
Hence, a robust, fast and accurate vehicle mass estimation method is required for several driver assistance, driving strategy and range management systems. ...
doi:10.1109/itsc.2012.6338638
dblp:conf/itsc/RhodeG12
fatcat:ctrlklosyrddzo5q3gt36i5uk4
Driving Load Estimation with the Use of an Estimated Turbine Torque
2006
JSME international journal. Series C, Mechanical systems, machine elements and manufacturing
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In this paper, a vehicle driving load estimation scheme in the form of a linear state observer is presented. ...
The proposed observer has been evaluated using a vehicle simulator in various driving situations considering transmission oil temperature variations, engine power losses, and variation of load conditions ...
Acknowledgments The work was supported by the Ministry of Education and Human Resources Development, Korea, under a program of the Brain Korea 21 Project. The authors would like to thank Prof. ...
doi:10.1299/jsmec.49.163
fatcat:eva4flrm4jfyvmdecokkzs3k6m
A Robust Traction Control for Electric Vehicles Without Chassis Velocity
[chapter]
2011
Electric Vehicles - Modelling and Simulations
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This means that the proposed control www.intechopen.com Electric Vehicles -Modelling and Simulations 118 approach for vehicle traction control is insensitive to the varying of w J . ...
Especially, the mass of passengers can also increase M to convince the condition of Eq. (18). Since the varying of w J caused by w J cannot affect the anti-slip control system so much. ...
n
M denotes the nominal value of vehicle mass M and
()
d s
stands for the
perturbation caused by passenger and driving resistance dr
F . ...
doi:10.5772/16942
fatcat:megilr2zyzbc7nlawxjyr4aywu
Online estimation of vehicle driving resistance parameters with recursive least squares and recursive total least squares
2013
2013 IEEE Intelligent Vehicles Symposium (IV)
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Application: RGTLS is used for estimation of vehicle driving resistance parameters. ...
Results: We present parameter estimates for the vehicle mass, two coefficients of rolling resistance, and drag coefficient of one test run on public road. ...
commonly used with unknown parameters that vary at different rates such as the vehicle mass, coefficients of rolling resistance, and drag coefficient. ...
doi:10.1109/ivs.2013.6629481
dblp:conf/ivs/RhodeG13
fatcat:4sipzrxmazafxc6inhhpxkc54a
A Novel Traction Control for Electric Vehicle without Chassis Velocity
[chapter]
2010
Motion Control
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tireroad conditions, but also has greater robustness to perturbations in vehicle mass and disturbances in driving resistance. ...
Fig. 10 and Fig. 11 show that the proposed control system has high robustness to perturbations in vehicle mass and disturbances in driving resistance. ...
/a-novel-traction-control-for-electric-vehicle-without-chassisvelocity © 2010 The Author(s). ...
doi:10.5772/6962
fatcat:gaxtxepr7ffwpjpaqglhb34i2a
Pressure Estimation of the Electro-Hydraulic Brake System Based on Signal Fusion
2021
Actuators
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Finally, several simulations based on vehicle test data demonstrate that the fusion-based MCPE can estimate the brake pressure accurately and smoothly with little delay and is robust enough to prevent ...
Real vehicle tests show that the MCPE based on the 5-DOF vehicle model can effectively estimate the brake pressure in both straight and steering conditions. ...
Acknowledgments: The authors are thankful for the support of the School of Automotive Studies and the IIV (Institute of Intelligent Vehicle) of Tongji University and Tongyu Automobile Technology Co., Ltd ...
doi:10.3390/act10090240
fatcat:yncupyzsrvee7ejv45om3lbhve
Gradient and Mass Estimation from CAN Based Data for a Light Passenger Car
2015
SAE International Journal of Passenger Cars - Electronic and Electrical Systems
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A composite parameter estimation algorithm incorporating a nonlinear adaptive observer structure uses vehicle speed over ground and driving torque to estimate mass and road gradient. ...
We present a method for the estimation of vehicle mass and road gradient for a light passenger vehicle. ...
Acknowledgments The authors would like to thank Jaguar and Land Rover Research for the support of this project and also Flandersdrive, Ford Lommel Proving Ground and in particualar all the personnel who ...
doi:10.4271/2015-01-0201
fatcat:dmjgtrcgjnh4hciwr5bdwjejce
An Eco-Cruise Control for Electric Vehicles Moving on Slope Road with Constant Speed
2021
Journal of Advanced Transportation
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The vehicle's total mass and pitch angle are estimated in real time by using an improved base-vector-based cross iteration estimator (BVCIE). ...
This paper proposes an eco-cruise control (ECC) scheme based on the driving condition estimation to decrease electric vehicle's energy consumption in the constant-speed cruise control mode. ...
62106202), and the Joint Aeronautical Science Foundation Project (202051053002). ...
doi:10.1155/2021/9562560
fatcat:2cis2d7k2jcxzpzy5l25ugfxqu
Research on Torque Distribution of Four-Wheel Independent Drive Off-Road Vehicle Based on PRLS Road Slope Estimation
2021
Mathematical Problems in Engineering
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According to the vehicle longitudinal dynamics model, a progressive RLS (PRLS) algorithm for real-time estimation of vehicle mass and road gradient is proposed. ...
In view of the high difficulty in coupling of various electric vehicle parameters, intractable parameter estimation, and unreasonable distribution of vehicle driving torque, the four-wheel hub motor is ...
estimating the whole vehicle mass. ...
doi:10.1155/2021/5399588
fatcat:2a6oxrr4l5b7bgr643jwbjx55y
Potential for CO2 Reduction by Dynamic Wireless Power Transfer for Passenger Vehicles in Japan
2020
Energies
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It can extend the cruise range, which is one of the key specifications of electric vehicles. DWPT also reduces CO 2 emission as the driving resistance is reduced due to light weight of the batteries. ...
DWPT systems make electric vehicles more sustainable and, hence, more acceptable for consumers. ...
The energy required for driving can be calculated using vehicle mass, vehicle speed, driving resistance, and driving efficiency. ...
doi:10.3390/en13133342
fatcat:gbhhnsmedjc57j5dz2b2ckgicu
Study on the Control Algorithm of Automatic Emergency Braking System (AEBS) for Commercial Vehicle Based on Identification of Driving Condition
2022
Machines
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This AEBS control strategy was designed based on an estimation of the vehicle mass, the center of gravity position, road grade, and the tire-road friction coefficient. ...
include the vehicle load and road conditions. ...
driving conditions, ensuring the adaptability and control robustness of the AEBS. ...
doi:10.3390/machines10100895
fatcat:2ig4epbdofdqtortfo7n5wxb7m
A Robust Control Method for Lateral Stability Control of In-Wheel Motored Electric Vehicle Based on Sideslip Angle Observer
2018
Shock and Vibration
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Moreover, based on the estimated vehicle state information, an upper level control system by using robust control theory is proposed to specify a desired yaw moment and correction front steering angle ...
And the sideslip angle is estimated by using the dynamics-based approaches. ...
Acknowledgments This work is financially supported by the Fundamental Research Funds for the Central Universities (no. 2015ZCQ-GX-01) and China Postdoctoral Science Foundation (2016M600048). ...
doi:10.1155/2018/8197941
fatcat:fmb6ahejcvdxbf3j6gwhgsj3yy
Force Control of In-Wheel-Motored Electric Vehicles
2020
IEEJ Journal of Industry Applications
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Electric vehicles (EVs) are gaining attention, and novel use of cars such as vehicle-to-home is becoming widespread. ...
In particular, in-wheel-motor (IWM) type EVs, which have four motors inside each wheel, are expected to be an ideal power train system because it can achieve precise driving force control and estimation ...
. · · · · · · · · · · · · · · · · · · · · · · · · · · · · (2) J, r, and M represent wheel inertia, wheel radius, and vehicle mass respectively. Here, driving resistance is ignored for simplicity. ...
doi:10.1541/ieejjia.9.384
fatcat:5seiyqdbfreatb7nz4ea4wtokm
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