Modelling and experimental validation of an EV torque distribution strategy towards active safety and energy efficiency

Wei, Hongqian; Ai, Qiang; Zhao, Wenqiang; Zhang, Youtong

doi:10.1016/j.energy.2021.121953

Cited by 27 publications

(18 citation statements)

References 45 publications

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“…Too frequent shifting and gear hunting, if not properly optimized, will cause driving discomfort and increased losses in the actuators. The latest studies on four motors EV powertrain configuration focused on not only achieving optimum efficiency, but also enhancing driving safety and steering assist [87,88]. Unlike the powertrain configuration proposed in [83][84][85], the four motors EV powertrain introduced in [87,88] lacked the gearshifting options since it used single speed transmission.…”

Section: Multi-motor Configurationmentioning

confidence: 99%

“…The latest studies on four motors EV powertrain configuration focused on not only achieving optimum efficiency, but also enhancing driving safety and steering assist [87,88]. Unlike the powertrain configuration proposed in [83][84][85], the four motors EV powertrain introduced in [87,88] lacked the gearshifting options since it used single speed transmission. However, the omission of gearshifting options increase its simplicity in terms of operation and controls.…”

Section: Multi-motor Configurationmentioning

confidence: 99%

“…However, the omission of gearshifting options increase its simplicity in terms of operation and controls. In [87], the element of driving safety, together with the optimum efficiency in terms of power consumption, can be realized by implementing integrated motors' torque vectoring control strategy in the wheels. The integrated strategy was intended to achieve multiple objectives such as reasonable traction torque distribution on the wheels for yaw stability control and steering assists, proper motor's output torque to enable it to operate at its most efficient range for optimum power consumption, and reducing the wheels' dynamic slip for driving stability as well as optimum power consumption.…”

Section: Multi-motor Configurationmentioning

confidence: 99%

“…The integrated strategy was intended to achieve multiple objectives such as reasonable traction torque distribution on the wheels for yaw stability control and steering assists, proper motor's output torque to enable it to operate at its most efficient range for optimum power consumption, and reducing the wheels' dynamic slip for driving stability as well as optimum power consumption. The proposed integrated strategy was then compared against the conventional axis distribution and maximization of stability margin strategies through simulation under WLTC, where the results showed that the integrated strategy reduced the The latest studies on four motors EV powertrain configuration focused on not only achieving optimum efficiency, but also enhancing driving safety and steering assist [87,88]. Unlike the powertrain configuration proposed in [83][84][85], the four motors EV powertrain introduced in [87,88] lacked the gearshifting options since it used single speed transmission.…”

Section: Multi-motor Configurationmentioning

confidence: 99%

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Review of the Methods to Optimize Power Flow in Electric Vehicle Powertrains for Efficiency and Driving Performance

et al. 2022

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Electric vehicles (EV) are quickly gaining a foothold in global markets due to their zero tailpipe emissions and increasing practicality in terms of battery technologies. However, even though EV powertrains emit zero emissions during driving, their efficiency has not been fully optimized, particularly due the commonly used single-speed transmission. Hence, this paper provides an extensive review on the latest works carried out to optimize the power flow in EV powertrains using multispeed discrete transmission, continuously variable transmission and multi-motor configurations. The relevant literatures were shortlisted using a keyword search related to EV powertrain in the ScienceDirect and Scopus databases. The review focused on the related literatures published from 2018 onwards. The publications were reviewed in terms of the methodologies applied to optimize the powertrain for efficiency and driving performance. Next, the significant findings from these literatures were discussed and compared. Finally, based on the review, several future key research areas in EV powertrain efficiency and performance are highlighted.

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Section: Multi-motor Configurationmentioning

confidence: 99%

Section: Multi-motor Configurationmentioning

confidence: 99%

Section: Multi-motor Configurationmentioning

confidence: 99%

Section: Multi-motor Configurationmentioning

confidence: 99%

See 2 more Smart Citations

Review of the Methods to Optimize Power Flow in Electric Vehicle Powertrains for Efficiency and Driving Performance

et al. 2022

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“…Considering the vehicle lateral and yaw motion, the nonlinear dynamic DDEV model is depicted in Figure 1. The mathematical expression with respect to vehicle sideslip angle 𝛽 and yaw rate 𝛾 is formulated in following equations [31]: Lateral movement:…”

Section: Vehicle System Dynamicsmentioning

confidence: 99%

Deep reinforcement learning based active safety control for distributed drive electric vehicles

Wei

Zhao

et al. 2022

IET Intelligent Trans Sys

Self Cite

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Distributed drive electric vehicles are regarded as the promising transportation due to the advanced power flow architecture. Optimizing the yaw motion to enhance vehicle safety is a challenging job. Besides, the nonlinear features in vehicles affect the control accuracy of the yaw motion controllers. To this end, a deep reinforcement learning (DRL) based direct yaw moment control (DYC) strategy is put forward here. Vehicle dynamics can be approximated with the DRL algorithm, which reduces the complex nonlinear solving process. Concretely, the DYC problem is formulated as Markov Decision Process in which the observed signals and external yaw moment are incorporated as the state and action sets. Thereupon, actor-critic network is exhibited to approximate action-value function and policy function for better control performance. Furthermore, to guarantee the continuous solution of external yaw moment, the deep deterministic policy gradient algorithm is employed, in which target and online network parameters are simultaneously trained to maintain learning process stability. The proposed DRL based DYC strategy is verified using the Carsim/Simulink platform under the typical lane change manoeuvres. Numerical test results demonstrate that the proposed DYC strategy outperforms the linear approaches on taking full advantage of understeer features and enhancing the lateral stability, especially under the critical steering manoeuvres.

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Analysis on the Driving and Braking Control Logic Algorithm for Mobility Energy Efficiency in Electric Vehicle

Jamil,

Naqvi,

Iqbal

et al. 2024

Smart Grids and Energy

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Modelling and experimental validation of an EV torque distribution strategy towards active safety and energy efficiency

Cited by 27 publications

References 45 publications

Review of the Methods to Optimize Power Flow in Electric Vehicle Powertrains for Efficiency and Driving Performance

Review of the Methods to Optimize Power Flow in Electric Vehicle Powertrains for Efficiency and Driving Performance

Deep reinforcement learning based active safety control for distributed drive electric vehicles

Analysis on the Driving and Braking Control Logic Algorithm for Mobility Energy Efficiency in Electric Vehicle

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