Results 31 to 40 of about 820,459 (333)
State-dependent Kalman filters for robust engine control [PDF]
, 2006 Vehicle emissions variations impose significant challenges to the automotive industry. In these simulation studies, nonlinear estimation techniques based on state-dependent and extended Kalman filtering are developed for spark ignition engines to enhance
Dutka, Arkadiusz +2 more
core +1 more source
Influence of State of Charge Estimation Uncertainty on Energy Management Strategies for Hybrid Electric Vehicles [PDF]
, 2011 This paper studies how the optimal energy management of a hybrid electric vehicle and a plug-in hybrid electric vehicle is affected by uncertain estimates of the battery state of charge.
Egardt, Bo +2 more
core +1 more source
Electric vehicle battery model identification and state of charge estimation in real world driving cycles [PDF]
, 2015 This paper describes a study demonstrating a new method of state-of-charge (SoC) estimation for batteries in real-world electric vehicle applications. This method combines realtime model identification with an adaptive neuro-fuzzy inference system (ANFIS)
Auger, Daniel J. +2 more
core +1 more source
Energies, 2021 Novel drivetrain concepts such as electric direct drives can improve vehicle dynamic control due to faster, more accurate, and more flexible generation of wheel individual propulsion and braking torques.
Hannes Heidfeld, Martin Schünemann
doaj +1 more source
Applied Sciences, 2023 For nonlinear systems, both the cubature Kalman filter (CKF) and square-root cubature Kalman filter (SCKF) can get good estimation performance under Gaussian noise. However, the actual driving environment noise mostly has non-Gaussian properties, leading
Pingshu Ge +4 more
doaj +1 more source
Electric vehicle battery parameter identification and SOC observability analysis: NiMH and Li-S case studies [PDF]
, 2016 In this study, a framework is proposed for battery model identification to be applied in electric vehicle energy storage systems. The main advantage of the proposed approach is having capability to handle different battery chemistries.
Auger, Daniel J. +3 more
core +2 more sources
Vehicle dynamics prediction via adaptive robust unscented particle filter
Advances in Mechanical Engineering, 2023 Accurate knowledge of the vehicle dynamics response is a critical aspect to improve handling performance while ensuring safe driving at the same time. However, it poses a challenge since not all the quantities of interest can be directly measured due to ...
Yingjie Liu, Dawei Cui
doaj +1 more source
IEEE Access, 2019 Accurate and reliable vehicle state estimation results are very significant to the active safety, energy optimization, and the intelligent control of vehicles.
Te Chen +5 more
doaj +1 more source
A Data-Driven Method for the Estimation of Truck-State Parameters and Braking Force Distribution
Sensors, 2022 In the study of braking force distribution of trucks, the accurate estimation of the state parameters of the vehicle is very critical. However, during the braking process, the state parameters of the vehicle present a highly nonlinear relationship that ...
Qunyi Chu, Wen Sun, Yuanjian Zhang
doaj +1 more source
Is the Pedestrian going to Cross? Answering by 2D Pose Estimation [PDF]
, 2018 Our recent work suggests that, thanks to nowadays powerful CNNs, image-based 2D pose estimation is a promising cue for determining pedestrian intentions such as crossing the road in the path of the ego-vehicle, stopping before entering the road, and ...
Fang, Zhijie, López, Antonio M.
core +2 more sources