Modelling and testing of in‐wheel motor drive intelligent electric vehicles based on co‐simulation with Carsim/Simulink

Li, Yong; Deng, Huifan; Xu, Xing; Wang, Wujie

doi:10.1049/iet-its.2018.5047

Cited by 38 publications

(19 citation statements)

References 30 publications

(29 reference statements)

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“…The validity of the model can be approximately verified by comparing the simulation results with the prototype results under the same conditions. The specific results have been verified in the published paper 21 and hence not repeated here. By comparison, the results of the prototype test and the simulation of the DDEV dynamics model are the same under the same input, which verifies the reliability of the model.…”

Section: Hil Experiments Results and Analysessupporting

confidence: 60%

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Coordinated control of stability and economy based on torque distribution of distributed drive electric vehicle

Zhao

Deng

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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The torque distribution strategy of distributed drive electric vehicle is only aimed at safety or economy. A multi-target coordinated control method considering stability and economy is proposed to solve the problem of single torque distribution target, which consists of a coordination decision controller, a high-level motion controller, and a low-level allocation controller. The coordination decision controller based on the phase plane method determines whether to adopt a stability or economic control strategy. The high-level motion controller consists of a bicycle model with 2 degree of freedom, a speed tracking controller, a stability controller, and an economic controller to calculate the desired direct yaw moment of the four in-wheel motors. The stability controller based on the fuzzy algorithm tracks the desired vehicle side slip angle and yaw rate calculated by the bicycle model with 2 degree of freedom to control vehicle stability. The economical controller based on a multi-motor loss model optimizes the efficiency of the vehicle’s drive system. The low-level allocation controller is presented to provide optimally distributed torques for each wheel. Finally, the simulation and hardware-in-the-loop testing show that the coordinated control strategy can effectively improve the stability and economy of the distributed drive electric vehicle.

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Section: Hil Experiments Results and Analysessupporting

confidence: 60%

“…The detail of the modeling process can be referred in the published journals. 21 The in-wheel motor model of the DDEV The electric motor is the most important part of the electric vehicle, especially in the DDEV. The motor and motor control system largely determines the performance of the whole car.…”

Section: The Carsim Vehicle Model Of the Ddevmentioning

confidence: 99%

Coordinated control of stability and economy based on torque distribution of distributed drive electric vehicle

Zhao

Deng

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part D:

Self Cite

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“…for any numbers ε 1 , ε 2 > 0. Using Shur's complement [32], the inequality equation (34) is equivalent to the following LMI:…”

Section: Theoremmentioning

confidence: 99%

“…Then, with the default parameters of the vehicular powertrain system and braking system, the throttle opening, or the main cylinder pressure output of each vehicle is computed by the input of CarSim and the controller in Simulink. The readers refer [34] for detailed co-simulation setup of CarSim and Simulink. Figures 5 and 6 show the time profiles of velocity and position of the six vehicles, respectively.…”

Section: Numerical Experimentsmentioning

confidence: 99%

Robust Time-Delay Feedback Control of Vehicular CACC Systems with Uncertain Dynamics

Song

Chen

Wang

et al. 2020

Sensors

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This paper proposes a new, robust time-delay cooperative adaptive cruise control (CACC) approach for vehicle platooning systems with uncertain dynamics and varying communication delay. The uncertain CACC models with perturbed parameters are used to describe the uncertain dynamics of the vehicle platooning system. By combining the constant time headway strategy and predecessor-following communication topology, a set of robust delay feedback controllers is designed for the uncertain vehicle platoon with varying communication delay. Then, the set of CACC controllers is computed by solving some linear matrix inequalities, which further establish the robust (string) stability of the uncertain platooning system with the varying communication delay. The co-simulation experiment of CarSim and Simulink with a group of a seven-car platoons and varying velocity is used to demonstrate the effectiveness of the presented method.

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“…As a highly integrated product consisting of electrification, informatization and intelligence, IEVs offer unprecedented opportunities for automated safe and energy-efficient driving, which can be called eco-driving, and the dynamic interaction and synergy among individual subsystems in IEVs need to be analyzed and modeled [6,7]. On the other hand, how to integrate the energy optimization during the longitudinal ecodriving process and vehicle safety under complex scenarios with uncertainties is a formidable challenge.…”

Section: Introductionmentioning

confidence: 99%

The Eco-Driving Considering Coordinated Control Strategy for the Intelligent Electric Vehicles

Hao

Sun

2021

IEEE Access

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Modelling and testing of in‐wheel motor drive intelligent electric vehicles based on co‐simulation with Carsim/Simulink

Cited by 38 publications

References 30 publications

Coordinated control of stability and economy based on torque distribution of distributed drive electric vehicle

Coordinated control of stability and economy based on torque distribution of distributed drive electric vehicle

Robust Time-Delay Feedback Control of Vehicular CACC Systems with Uncertain Dynamics

The Eco-Driving Considering Coordinated Control Strategy for the Intelligent Electric Vehicles

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