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Synthetical Efficiency-based Optimization for the Power Distribution of Power-split hybrid electric vehicles

Chinese Journal of Mechanical Engineering 2014年第1期27卷 58-68页

作者： WANG Weida HAN Lijin XIANG Changle MA Yue LIU Hui National Key Laboratory of Vehicle Transmission Beijing Institute of Technology

Now the optimization strategies for power distribution are researched widely, and most of them are aiming to the optimal fuel economy and the driving cycle must be preknown. Thus if the actual driving condition deviates from the scheduled driving cycle, the effect of optimal results will be declined greatly. Therefore, the instantaneous optimization strategy carried out on-line is studied in this paper. The power split path and the transmission efficiency are analyzed based on a special power-split scheme and the efficiency models of the power transmitting components are established. The synthetical efficiency optimization model is established for enhancing the transmission efficiency and the fuel economy. The identification of the synthetical efficiency as the optimization objective and the constrain group are discussed emphatically. The optimization is calculated by the adaptive simulated annealing （ASA） algorithm and realized on-line by the radial basis function （RBF）-based similar models. The optimization for power distribution of the hybrid vehicle in an actual driving condition is carried out and the road test results are presented. The test results indicate that the synthetical efficiency optimization method can enhance the transmission efficiency and the fuel economy of the power-split hybrid electric vehicle （HEV） observably. Compared to the rules-based strategy the optimization strategy is optimal and achieves the approximate global optimization solution for the power distribution. The synthetical efficiency optimization solved by ASA algorithm can give attentions to both optimization quality and calculation efficiency, thus it has good application foreground for the power distribution of power-split HEV.

关键词： hybrid electric vehicles power-split synthetical efficiency-based optimization power distribution road test

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Development of Novel Bipolar Nickel／Metal Hydride Batteries for hybrid electric vehicles

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Chinese Journal of Chemistry 2005年第2期23卷 221-224页

作者：邓超史鹏飞张森 DepartmentofAppliedChemistry HarbinInstituteofTechnologyHarbinHeilongjiang150001China ColledgeofChemicalEngineering HarbinEngineeringUniversityHarbinHeilongjiang150001China

This paper deals with the design and development of bipolar Ni/MH *** optimizing the parameters of bipolar plates by adjusting electrode thickness and modifying thecapacity ratio of two adjacent electrodes of a single cell, some bipolar Ni/MH stacks with avoltage of 6 V were assembled and examined. Electrochemical testing results showed that the bipolarbattery has excellent high rate discharge and recharge characteristics, satisfying pulse dischargeperformance even in a low state of charge (SOC). Moreover, the battery showed good stability duringpulse cycles as simulating hybrid electric vehicle working conditions. It would be a promisingalternative for power storage system in hybrid electric vehicles.

关键词： bipolar Ni/MH battery electrochemical testing hybrid electric vehicles

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Driving-Cycle-Aware Energy Management of hybrid electric vehicles Using a Three-Dimensional Markov Chain Model

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Automotive Innovation 2019年第2期2卷 146-156页

作者： Bolin Zhao Chen Lv Theo Hofman Department of Mechanical Engineering Eindhoven University of TechnologyEindhovenThe Netherlands School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingaporeSingapore

This study developed a new online driving cycle prediction method for hybrid electric vehicles based on a three-dimensional stochastic Markov chain model and applied the method to a driving-cycle-aware energy management *** impacts of different prediction time lengths on driving cycle generation were *** results indicate that the original driving cycle is compressed by 50%,which significantly reduces the computational burden while having only a slight effect on the prediction *** developed driving cycle prediction method was implemented in a real-time energy management algorithm with a hybrid electric vehicle powertrain model,and the model was verified by simulation using two different testing *** testing results demonstrate that the developed driving cycle prediction method is able to efficiently predict future driving tasks,and it can be successfully used for the energy management of hybrid electric vehicles.

关键词： Driving cycle prediction Markov chain model hybrid electric vehicles Energy managemen

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A deep neural network based model for the prediction of hybrid electric vehicles carbon dioxide emissions

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Energy and AI 2021年第3期5卷 1-17页

作者： Claudio Maino Daniela Misul Alessandro Di Mauro Ezio Spessa IC Engines Advanced Laboratory Dipartimento Energia“Galileo Ferraris”Politecnico di Torinoc.so Duca degli Abruzzi 2410129 TorinoItaly

hybrid electric vehicles(HEV)are nowadays proving to be one of the most promising technologies for the im-provement of the fuel economy of several transportation *** far as the on-road category is concerned,a wise selection of the powertrain design is needed to exploit the best energetic performance achievable by a *** the methodologies developed for comparing different hybrid architectures,global optimizers have demonstrated the capability of leading to optimal design solutions at the expense of a relevant compu-tational *** the present paper,an innovative deep neural networks-based model for the prediction of tank-to-wheel carbon dioxide emissions as estimated by a Dynamic Programming(DP)algorithm is *** model consists of a pipeline of neural networks aimed at catching the correlations lying between the de-sign parameters of a HEV architecture and the main outcomes of the DP,namely powertrain feasibility and tail pipe CO_(2) ***,an automatic search tool(AST)has been developed for tuning the main hyper-parameters of the *** results have been registered by applying the pipeline to three databases related to three different HEV parallel *** capability of the pipeline has been proved through an extensive testing campaign made up by multiple *** performances above 91%as well as average regression errors below 1%have been achieved during an extensive set of *** presented model could hence be considered as an effective tool for supporting HEV design optimization phases.

关键词： Deep neural networks Carbon dioxide emissions hybrid electric vehicles Dynamic programming

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Increment Dynamic Adjustment Method for hybrid Energy Source System in electric vehicles

Increment Dynamic Adjustment Method for Hybrid Energy Source...

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第37届中国控制会议

作者： Kong Zhiguo Huang Xin He Penglin Wang Bin Li Wenshuai Ma Kai China Automotive Technology and Research Center

To solve the power flow management problem of two energy sources in a composite energy source system, a incremental dynamic optimization method is proposed in this paper. The incremental adjustment criteria are studied and the penalty coefficients is introduced to optimize the increment. Further, the realization of the energy management strategy of an electric bus equipped with CHS hybrid power system is presented. The bus was tested on the bench with CCBC condition and operates on bus lines. And the test results and operating data demonstrate the effectiveness and robustness of the proposed method.

关键词： increment penalty coefficients composite energy source hybrid electric vehicles

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Energy management strategy for hybrid electric vehicle integrated with waste heat recovery system based on deep reinforcement learning

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Science China(Technological Sciences) 2022年第3期65卷 713-725页

作者： WANG Xuan WANG Rui SHU GeQun TIAN Hua ZHANG XuanAng State Key Laboratory of Engines Tianjin UniversityTianjin 300072China

hybrid electric vehicles(HEVs)are acknowledged to be an effective way to improve the efficiency of internal combustion engines(ICEs)and reduce fuel *** the ICE in an HEV can maintain high efficiency during driving,its thermal efficiency is approximately 40%,and the rest of the fuel energy is discharged through different kinds of waste ***,it is important to recover the engine waste *** of the great waste heat recovery performance of the organic Rankine cycle(ORC),an HEV integrated with an ORC(HEV-ORC)has been ***,the addition of ORC creates a stiff and multi-energy problem,greatly increasing the complexity of the energy management system(EMS).Considering the great potential of deep reinforcement learning(DRL)for solving complex control problems,this work proposes a DRL-based EMS for an *** simulation results demonstrate that the DRL-based EMS can save 2%more fuel energy than the rule-based EMS because the former provides higher average efficiencies for both engine and motor,as well as more stable ORC power and battery ***,the battery always has sufficient capacity to store the ORC ***,DRL showed great potential for solving complex energy management problems.

关键词： hybrid electric vehicles organic Rankine cycle waste heat recovery deep reinforcement learning energy management system

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A fast algorithm for nonlinear model predictive control applied to HEV energy management systems

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Science China(Information Sciences) 2017年第9期60卷 194-210页

作者： Lulu GUO Bingzhao GAO Yong LI Hong CHEN State Key Laboratory of Automotive Simulation and Control Jilin University Department of Control Science and Engineering Jilin University (Campus Nan Ling) School of Mathematics Jilin University

This paper presents a fast algorithm for nonlinear model predictive control. In real-time implementation, a nonlinear optimal problem is often rewritten as a nonlinear programming(NLP) problem using the Euler method, which is based on dividing the prediction horizon into N steps in a given time interval. However,real-time optimization is usually limited to slow processes, since the sampling time must be sufficient to support the task’s computational needs. In this study, by combining the Gauss pseudospectral method and model predictive control, a fast algorithm is proposed using fewer discrete points to transcribe an optimal control problem into an NLP problem while ensuring the same computational accuracy as traditional discretization *** approach is applied to the torque split control for hybrid electric vehicles(HEV) with a predefined torque demand, and its computational time is at least half that of the Euler method with the same accuracy.

关键词： energy management hybrid electric vehicles nonlinear model predictive control Gauss pseu dospectral method nonlinear programming

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Observation of Lower hybrid Current Drive Improved Confinement With a Graphite Probe at the Last Closed Flux Surface of the HT—7 Tokamak

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Chinese Physics Letters 2002年第9期19卷 1316-1318页

作者：徐国盛万宝年等 InstituteofPlasmaPhysics ChineseAcademyofSciencesHefei230031

High time resolution measurements of the electrostatic fluctuations, radial electric field Er and turbulence-induced electron flux Γe have been performed across the transition of lower hybrid current drive improved confinement with a graphite Langmuir probe array at the last closed flux surface of the HT-7 tokamak. The decrease of Γe is dominated by the suppression of fluctuation levels, which follows the change of Er. A reversal of the poloidal propagation direction of turbulence demonstrates that the poloidal propagation is dominated by Er×Bφ drift. The enhancement of poloidal coherence accompanies the fluctuation suppression, which suggests the subtle variation of turbulence features.

关键词： Turbulent Flow MAGNETIC SURFACES graphene Graphite flux current drive Tokamak devices hybrid electric vehicles HT-7 TOKAMAK Probes hybrid Suppression propagation direction

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Electret Characteristics of hybrid Films Consisting of Porous Polytetrafluoroethylene and Teflon Fluoroethylenepropylene with COrona Charging

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Chinese Physics Letters 2002年第12期19卷 1856-1858页

作者：陈钢进 RudiDanz 等 StateKeyLaboratoryofSiliconMaterials zhejiangUniversityHangzhou310027 ZhejiangUniversityofScienceandTechnology Hangzhou310027 FraunhoferInstituteofAppliedPolymerResearch GolmGerm

We have prepared hybrid films consisting of porous polytetrafluoroethylene (PTFE) and Teflon fluoroethylenepropylene (FEP) and we have investigated their charge dynamics of injection, transport and trapping using corona charging, isothermal and thermally stimulated surface-potential decay measurements. The results indicate that the hybrid film samples show different electret characteristics when charged through side PTFE or side FEP. The samples charged negatively through side porous PTFE show the best charge stability. Their charge dynamics differs very much from a single film. The effect of corona polarity on the electret behaviour in the hybrid film is very large. The experimental results are explained with the three structure level model of charge storage in electrets

关键词： CHARGES Charging hybrid electric charge Electrets trapping Films Polytetrafluoroethylene charging hybrid electric vehicles CHARGING(ACCOUNTTNG)

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Model-Based Double Closed-Loop Coordinated Control Strategy for the Electro-Mechanical Transmission System of Heavy Power-Split HEVs

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Automotive Innovation 2021年第1期4卷 44-55页

作者： Weida Wang Yuhang Zhang Xiaoxia Sun Changle Xiang Chao Yang School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China China North Vehicle Research Institute Beijing 100072China

The dual-mode electro-mechanical transmission(EMT)system is a crucial part of power-split hybrid electric vehicles(HEVs),especially for the heavy *** improve the precision of the system power distribution and the response speed of the electric power supply,a model-based double closed-loop coordinated control strategy is *** the basis of the proposed control strategy,an EMT system model,particularly of an electrical system,is established *** proposed control strategy includes the power distribution strategy,battery power closed-loop feedback control strategy,and motor coordinated control *** verify the feasibility of the proposed control strategy,simulation and experiment are *** results indicate that the proposed control strategy can realize the expected power distribution by coordinating generators and motors and achieve rapid and stable electric power supply.

关键词： hybrid electric vehicles Electro-mechanical transmission system hybrid power-split Power coordinated control Multi-power distribution

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