Abstract The two power sources of a fuel cell electric vehicle (FCEV) are proton electrolyte membrane (PEMFC) and Li‐ion battery (LIB). health status PEMFC LIB decreases with the use FCEV, so energy management strategy (EMS) needs to give an optimal distribution based on throughout lifetime. However, rule‐based control strategies cannot achieve this. To prolong service lifetime by optimizing distribution, this article proposes long‐term (LTEMS) for which contains reinforcement learning...

Plug-in hybrid electric vehicles (PHEVs) can be considered as a system (HS) which includes the continuous state variable, discrete event, and operation constraint. Thus, model predictive control (MPC) strategy for PHEVs based on mixed logical dynamical (MLD) short-term vehicle speed prediction is proposed in this paper. Firstly, mathematical of controlled PHEV set-up to evaluate energy consumption using linearized models core power components. Then, recognition driving intention past data,...

The structured road is a scene with high interaction between vehicles, but due to the uncertainty of behavior, prediction vehicle behavior still challenge. This significant for controlling ego-vehicle. We propose an model based on cluster (VC) by self-attention (VC-Attention) improve performance. Firstly, five-vehicle structure designed extract interactive features ego-vehicle and target vehicle, such as Deceleration Rate Avoid Crash (DRAC) lane gap. In addition, proposed utilizes sliding...

Motor and its control technology are one of the main components Hybrid Electric Vehicle (HEV). To meet HEV′s fast torque response, vector algorithm based on rotor flux‐oriented simulation model is concerned modular designs for controller′s hardware software presented in paper order to build a platform achieve asynchronous induction motor. Analyze electromagnetic compatibility, introduce corresponding antijamming measures assure normal operation sensitive devices such as CAN bus; experiment...

A lateral control method is proposed for intelligent vehicle to track the desired trajectory. Firstly, a model established based on visual preview and dynamic characteristics of vehicle. Then, error orientation are melded into an integrated error. Considering system parameter perturbation external interference, sliding introduced in this paper. In order design surface, chosen as mode switching function. The function its derivative selected two inputs controller, front wheel angle output....

Energy management control strategy of hybrid electric vehicle has a great influence on the fuel consumption with motors adding to traditional power system. As real driving cycles seem be uncertain, dynamic will have an impact strategy’s energy-saving effect. In order better adapt cycles, should ability recognize real-time cycle and adaptively adjust corresponding off-line optimal parameters. this paper, four types representative are constructed based actual operating data, fuzzy recognition...

This paper is concerned with the self-adaptive control problems for parallel hybrid electric power systems based on fuzzy relative membership classification theory and an adaptive strategy optimization method HEV dynamic proposed. optimized can a daptively adjust its parameters real-time driving cycle, effectively improving fuel economy of HEV. Firstly, four types representative cycles are constructed actual vehicle operating data, using principal component analysis cluster to reflect...

The lateral control of intelligent vehicle is studied in this paper, with the DLUIV-1 based on visual navigation as object research. Firstly, model preview established. kinematics preview, including speed and other factors, used to calculate error direction error. Secondly, according characteristics control, an efficient strategy mode proposed. integration current chosen parameter sliding switching function design surface. variables are adjusted fuzzy rules ensure that they meet existence...

The popularity of hybrid electric bus (HEB) is a most realistic way to solve emission and energy problem currently, so it's important improve the HEB's fuel economy efficiency. This paper optimizes driving system satisfy conditions this city. We applied fuzzy logic control modern theory system's parallel-HEB, optimized strategy city's based on theory. adopted ADVISOR2002 for re-development, namely established simulation model bus, then we tested HEB urban cycle which had been developed in...

Energy saving and environmental protection are the two main themes of today’s auto industry development. The hybrid electric vehicle (HEV) has become one most practical significant ways to solve energy emission problems with good fuel economy lower emissions. Aimed at present HEV control methods, which have such as power loss, low efficiency system, deterioration lubrication conditions, so on, from points view overall drive an optimal method for a is proposed these problems. Firstly, all...

To improve energy consumption economy and fuel cell life economy, this article proposes a multiobjective real‐time management strategy based on short‐term power smoothing prediction distance adaptive state‐of‐charge (SOC) for cell/battery plug‐in hybrid electric bus. First, SOC reference trajectory planning method is proposed by collecting the actual operating condition data of Dalian city buses. Second, motor smoothed using first‐order exponential approach, long short term memory network...

A new listless zerotree image compression algorithm is presented. The classic SPIHT need to maintain three lists store temporarily the image's structure and significance information, which represents a major drawback for hardware implementation because large amount of memory needed these lists. Memory requirement reduced significantly in LZC replacement by flag maps. But performance codec also lowered. Besides, there still some redundancy SPIHT. In this paper, an improved coding procedure...

The classic SPIHT algorithm need to maintain three lists store temporarily the image's zerotree structure and significance information, which represents a major drawback for hardware implementation because large amount of memory is needed these lists. Besides, there still some redundancy in SPIHT. Memory requirement reduced significantly LZC replacement by flag maps, but performance codec also lowered. In this paper, new listless image compression presented. An improved coding procedure are...

The paper studies control strategy and simulation technology of Hybrid Electric Vehicle (HEV) based on Xiali 7100 prototype. Firstly, the frame structure parallel Integrated Starter/Generator (ISG) mild HEV is designed parameters main components are identified. Then a logical gateway instantaneous optimization proposed for system after mode analysis. Finally, fuel consumption evaluated module built under MATLAB/Simulink environment. Different typical city bus circles selected analysis...

The performance of hybrid motor directly affects vehicle and fuel economy. In this paper, doubly salient permanent magnet is selected as small displacement ISG mild hybrid. Magnet field superposition method proposed to analyze the static characteristics motor. Namely, "partition method" adopted when excitation windings operate alone. Then two-dimensional finite element operates Doubly are obtained by superposition, structural parameters designed through analogy. Finally, physical prototype...

Motor and its control technology is one of main components Hybrid Electric Vehicles (HEV). To meet the fast torque response demands HEV, rotor flux-oriented based vector algorithm with simulation model concerned modular design for hardware software controller present in paper. Series anti-jamming vibration isolation measurements are taken especially to ensure can adapt working environment HEV. The motor test bench set up experiments results show that designed drive system have ability, wide...

In order to reduce the energy consumption of fuel cell/battery plug‐in hybrid electric buses and prolong service life cell power battery, this article proposes a multiobjective real‐time management strategy (EMS) based on deep reinforcement learning state charge (SOC) descent curve trajectory control. First, demand is derived from operational data collected bus in Dalian, set SOC reference decline curves mileage formulated. Second, cost function constructed consider hydrogen cost, lifespan,...

This paper proposes a predictive control algorithm constrained by the state of charge (SOC) trajectory for plug-in hybrid electric vehicle (PHEV) system. Firstly, system energy consumption model is linearised piecewise, and mixed logic dynamics (MLD) PHEV with minimum equivalent fuel as optimal cost function established. Secondly, long short-term memory network (LSTM) used to forecast future speed through historical data. Finally, SOC curve obtained constraint condition according change...

Currently, to alleviate environmental problems and energy crises, fuel cells are gradually being used in rail transit vehicle drive systems. In existing fuel-cell-driven systems, direct current (DC)/DC converters widely used, but there serious shortcomings terms of cost, efficiency market application. To solve these problems, a novel dual-source-driven system is innovatively presented this study. the system, multi-mode operating state dual-source motor was taken into consideration, based on...

The stability of the braking process intelligent vehicle is mainly divided into two parts: accurate selection target and during a on curve. For targets, this paper uses sensor fusion to identify fit lane lines, establishes road curvature estimation model, which used in front lane, thereby effectively reducing mis-braking. emergency curve prone instability. To solve problem, sliding-mode controller worked out based joint control yaw rate side slip angle, order calculate additional moment....