Y Cao, M Yao, X Sun - Applied Sciences, 2023 - mdpi.com
With the world's energy reserves under strain and the requirements of national carbon emission regulations, the fuel efficiency and environmental friendliness of automobiles are …
J Wu, H He, J Peng, Y Li, Z Li - Applied energy, 2018 - Elsevier
Reinforcement learning is a new research hotspot in the artificial intelligence community. Q learning as a famous reinforcement learning algorithm can achieve satisfactory control …
In this paper, an adaptive energy management strategy (AEMS) under model predictive control (MPC) framework is proposed. The main advantage of the AEMS is that it fully …
J Guo, H He, C Sun - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Road gradient and vehicle velocity are critical information in deciding the power demand of hybrid electric vehicles (HEVs), and greatly impact the powertrain energy management …
D Shi, S Liu, Y Cai, S Wang, H Li, L Chen - Applied Energy, 2021 - Elsevier
Pontryagin's minimum principle (PMP) based energy management strategy, which describes the optimal power distribution of hybrid electric vehicle as Hamiltonian minimization …
G Long, F Ding, N Zhang, J Zhang, A Qin - Applied Energy, 2020 - Elsevier
The active suspension system is a practical solution to improve vehicle comfort and safety by applying controlled forces to the vehicle body and wheels. However, the widespread …
Automobiles are dissipating a considerable amount of vibration energy that is worth of being harvested where it can be exploited in different applications. For a full vehicle suspension …
J Zhang, Y Yang, M Hu, Z Yang, C Fu - Energy, 2021 - Elsevier
The energy recovery efficiency and ride comfort of electric vehicles are important performance indicators. Currently, few joint studies have been conducted on the energy …
In order to significantly reduce vehicular fuel consumption and emission pollutants, power- split hybrid electric vehicles are increasingly deployed to ensure that internal combustion …