A Low-Complexity and High-Performance Energy Management Strategy of a Hybrid Electric Vehicle by Model Approximation
Tong Liu(New York University), Lei Feng(KTH Royal Institute of Technology), Wenyao Zhu(KTH Royal Institute of Technology), Kaige Tan(KTH Royal Institute of Technology), Mingwei Liu(KTH Royal Institute of Technology)
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)
August 20, 2022
Cited by 3
Related Papers
A deep supercooling eutectic phase change material for low-temperature battery thermal management
|Journal of Energy Storage|2022|66
A micro-slip friction modeling approach and its application in underplatform damper kinematics
|International Journal of Mechanical Sciences|2019|61
Stress-driven infill mapping for 3D-printed continuous fiber composite with tunable infill density and morphology
|Additive manufacturing|2022|56
Creep of wood under a large span of loads in constant and varying environments
|European Journal of Wood and Wood Products|1993|35
Computationally Efficient Energy Management for a Parallel Hybrid Electric Vehicle Using Adaptive Dynamic Programming
|IEEE Transactions on Intelligent Vehicles|2023|23