Model-Based Design of a Hybrid Powertrain Architecture with Connected and Automated Technologies for Fuel Economy Improvements

2020 ◽  
Author(s):  
Kristina Kuwabara ◽  
Jacqueline Karl-DeFrain ◽  
Shawn Midlam-Mohler ◽  
Mahaveer Kantilal Satra ◽  
Akshra Narasimhan Ramakrishnan
Keyword(s):  
Fuel Economy ◽  
Hybrid Powertrain ◽  
Model Based

Model-Based Assessment of Hybrid Powertrain Solutions

2011 ◽  
Author(s):  
Oliver Dingel ◽  
Joerg Ross PhD ◽  
Igor Trivic ◽  
Nicolo Cavina ◽  
Mauro Rioli
Keyword(s):  
Hybrid Powertrain ◽  
Model Based

Fuel Economy and Emission Performance of Fuel Cell-Based Diesel HEVs

2008 ◽  
Vol 5 (1) ◽  
Author(s):  
Daniel Crunkleton ◽  
Robert Strattan
Keyword(s):  
Fuel Cell ◽  
Fuel Economy ◽  
Energy Use ◽  
Hybrid Powertrain ◽  
Emission Analysis ◽  
Vehicle Architecture ◽  
Equivalent Fuel ◽  
And Performance ◽  
Hybrid Electric Powertrain ◽  
Powertrain Configuration

The fuel economy and emission advantages of diesel-electric hybrid powertrain modifications and an auxiliary fuel cell subsystem over those of a conventional midsize crossover SUV are discussed. The vehicle architecture is representative of one selected for the multiyear ChallengeX intercollegiate student design contest. To analyze the fuel economy, a simple “top-level” approach is used to estimate the fuel economy characteristics and performance potential to illustrate the advantages of the hybrid-electric powertrain configuration and the auxiliary fuel cells. Chained energy efficiency assumptions for the powertrain components lead to gasoline equivalent fuel mileage estimates. In the emission analysis, the greenhouse gases, regulated emissions, and energy use in transportation model is used to track the environmental impact of the powertrain on a well-to-wheels basis.

Nonlinear Tracking Control of a Transient Hydrostatic Dynamometer for Hybrid Powertrain Research

2010 ◽  
Author(s):  
Yu Wang ◽  
Zongxuan Sun ◽  
Kim A. Stelson
Keyword(s):  
Tracking Control ◽  
Tracking Error ◽  
Weight Ratio ◽  
Pressure Control ◽  
State Feedback Control ◽  
Hybrid Powertrain ◽  
Power Sources ◽  
Model Based ◽  
Nonlinear Tracking ◽  
High Bandwidth

With its superior power to weight ratio, the hydrostatic dynamometer is an ideal candidate for transient engine or powertrain testing. Given its high bandwidth, the hydrostatic dynamometer can be further used as a virtual power source to emulate the dynamics of the automotive hybrid power sources. This will greatly expedite the investigation of various hybrid powertrain architectures and control methodologies without building the complete hybrid system. This paper presents the design, modeling, nonlinear tracking control and experimental investigation of a transient hydrostatic dynamometer. An electronically controlled load sensing mechanism is employed to facilitate the supply pressure control, and a two-stage high bandwidth valve is used as the primary actuator for the loading pressure control. To enable the model-based control, a 9th order physics-based model is formulated and then, identified and validated with experimental data. On this basis, model-based nonlinear tracking controls are designed for this multivariable nonlinear system to realize the precise engine speed tracking. A nonlinear model-based inversion plus PID control is first implemented and then, a state feedback control via feedback linearization is designed for reference tracking. Experimental results demonstrate precise tracking performance with less than 5% tracking error for both transient and steady state operations.

scholarly journals A Strategic Investigation for Fuel Economy Improvement of Medium-Duty Tactical Truck: Preliminary Simulation and Experimental Results

2011 ◽  
Vol 2011 ◽  
pp. 1-10
Author(s):  
Y. Gene Liao ◽  
Allen M. Quail
Keyword(s):  
Fuel Economy ◽  
Strategic Plan ◽  
Secondary Phase ◽  
Time Frame ◽  
Hybrid Population ◽  
Hybrid Powertrain ◽  
Preliminary Results ◽  
Future Technology ◽  
Cooling Fan ◽  
Depth Analysis

This paper reports the planning efforts and preliminary results of increasing fuel economy in the current fleet of medium-duty tactical truck. A strategic plan was developed through investigation of current and future technology offerings from original equipment manufacturers and after market suppliers. Research efforts consisted of an initial phase where a broad range of integration candidates were collected and a secondary phase where in-depth analysis was conducted to target those to be considered for inclusion in the strategic plan. The strategic plan lays out the integrated technologies in the near term including auxiliary electrification of engine cooling fan and hydrogen injection. For the mid-term time frame, the plan involves implementing an engine stop/start system and electrifying other auxiliaries. The final step in the plan is the development and implementation of a full hybrid population. The preliminary results include simulation of the electric cooling fan and mild hybrid powertrain, and experimental test of hydrogen injection.

scholarly journals Fuel economy improvement and emission reduction of 48 V mild hybrid electric vehicles with P0, P1, and P2 architectures with lithium battery cell experimental data

2021 ◽  
Vol 13 (10) ◽  
pp. 168781402110360
Author(s):  
Yiqun Liu ◽  
Y Gene Liao ◽  
Ming-Chia Lai
Keyword(s):  
Experimental Data ◽  
Electric Vehicles ◽  
Fuel Economy ◽  
Emission Reduction ◽  
Hybrid Electric Vehicles ◽  
Simulation Software ◽  
Hybrid Powertrain ◽  
Battery Cell ◽  
Hybrid Electric ◽  
Mild Hybrid

This paper intends to provide design selections of hybrid powertrain architectures in 48 V mild hybrid electric vehicles. Based on the location of the electric machine in the driveline, the hybrid powertrain architectures can be categorized into five groups, P0, P1, P2, P3, and P4. This paper uses simulation software to investigate the fuel economy improvements and emission reduction of 48 V mild hybrid electric vehicles with P0, P1, and P2 architectures. A baseline conventional and a 12 V start/stop vehicle models based on the production vehicle are built for comparison. The 48 V battery pack model is based on experimental data including open-circuit voltage and internal resistance of a 20 Ah lithium polymer battery cell. Four standard driving cycles are used to assess the fuel economy and emissions of the vehicle models. With features of engine idle elimination, electric power assist, and regenerative braking, the 48 V P0 and P1 respectively gains average 13.5% and 15.5% simulated fuel economy compared to baseline vehicle. The 48 V P2 enables feature of electric launch/driving and improves the fuel economy by average 18.5% better than baseline vehicle. The 48 V mild hybrid system seems to be one of the promising techniques to meet future fuel economy standards and emission regulations.

Power Optimization of Series Hydraulic Hybrid Powertrain for Compact Wheel Loader

2019 ◽  
Author(s):  
Qunya Wen ◽  
Feng Wang ◽  
Bing Xu ◽  
Zongxuan Sun
Keyword(s):  
Energy Management ◽  
Fuel Economy ◽  
Management Strategy ◽  
Power Optimization ◽  
Parameter Study ◽  
Energy Management Strategy ◽  
Hybrid Powertrain ◽  
Wheel Loader ◽  
Hydraulic Hybrid ◽  
Equivalent Consumption Minimization Strategy

Abstract As an effective approach to improving the fuel economy of heavy duty vehicles, hydraulic hybrid has shown great potentials in off-road applications. Although the fuel economy improvement is achieved through different hybrid architectures (parallel, series and power split), the energy management strategy is still the key to hydraulic hybrid powertrain. Different optimization methods provide powerful tools for energy management strategy of hybrid powertrain. In this paper a power optimization method based on equivalent consumption minimization strategy has been proposed for a series hydraulic hybrid wheel loader. To show the fuel saving potential of the proposed strategy, the fuel consumption of the hydraulic hybrid wheel loader with equivalent consumption minimization strategy was investigated and compared with the system with a rule-based strategy. The parameter study of the equivalent consumption minimization strategy has also been conducted.

A Novel Planetary Gear Hybrid Powertrain

2013 ◽  
Vol 278-280 ◽  
pp. 22-26
Author(s):  
Jun Yin ◽  
Xin Bo Chen ◽  
Tao Shu ◽  
Guo Bao Ning
Keyword(s):  
Power Control ◽  
Internal Combustion Engine ◽  
Fuel Economy ◽  
Combustion Engine ◽  
Control Unit ◽  
Planetary Gear ◽  
Hybrid Powertrain ◽  
Electric Driving ◽  
Gear Mechanism ◽  
Planetary Gear Mechanism

A novel planetary gear hybrid powertrain is proposed. It contains mainly nine components: A planetary gear mechanism, an internal combustion engine, two motors, two invertors, a set of battery, a power control unit(PCU) and a differential. To further the verification, the feasibility has been demonstrated by system operations analysis. The proposed hybrid powertrain harmonizes the operation of two motors and an engine. It achieves pure electric driving, hybrid driving and regenerative while braking, improves the fuel economy and benefits from the simple configuration, easy assembling and the flexibility of application.

Research on the Modeling and Simulation of Power System for the Single-Axle Parallel HEV

2015 ◽  
Vol 742 ◽  
pp. 531-534
Author(s):  
Qi Xun Zhou ◽  
Shi Hong Cao ◽  
Tao Ning
Keyword(s):  
Experimental Data ◽  
Fuel Economy ◽  
Physical Simulation ◽  
Superposition Principle ◽  
Dynamic Coupling ◽  
Hybrid Powertrain ◽  
Parallel Hybrid ◽  
Relation Model ◽  
Starter Generator ◽  
Fuel Consumption And Emissions

To research the hybrid powertrain vehicle, a forward-facing model is built in this paper. Based on the modeling method of experimental data, the model of throttle percentage and the torque of the engine is built, and the relation model of fuel consumption and emissions is given. Considering the Integrated Starter Generator (ISG) and its controller, the relation model of voltage, temperature, torque and current is established. According to the vector superposition principle of the engine and ISG torque, the model of dynamic coupling is also built. Considering the various external force along the driving direction of the vehicle, the running equation is given. Aim to a single-shaft parallel hybrid vehicle, the simulation of whole vehicle and the semi-physical simulation of ISG drive system are presented in this paper. Results show that the simulations are rational, and the fuel economy of the vehicle is enhanced efficiently.

scholarly journals Hierarchical Model Predictive Control for Hydraulic Hybrid Powertrain of a Construction Vehicle

2020 ◽  
Vol 10 (3) ◽  
pp. 745
Author(s):  
Zhong Wang ◽  
Xiaohong Jiao
Keyword(s):  
Energy Management ◽  
Predictive Control ◽  
Fuel Economy ◽  
Optimization Problem ◽  
Lower Layer ◽  
Hybrid Powertrain ◽  
Construction Machinery ◽  
Stochastic Optimization Problem ◽  
Driving Conditions ◽  
Disturbance Estimator

Hybrid hydraulic technology has the advantages of high-power density and low price and shows good adaptability in construction machinery. A complex hybrid powertrain architecture requires optimization and management of power demand distribution and an accurate response to desired power distribution of the power source subsystems in order to achieve target performances in terms of fuel consumption, drivability, component lifetime, and exhaust emissions. For hybrid hydraulic vehicles (HHVs) that are used in construction machinery, the challenge is to design an appropriate control scheme to actually achieve fuel economy improvement taking into consideration the relatively low energy density of the hydraulic accumulator and frequent load changes, the randomness of the driving conditions, and the uncertainty of the engine dynamics. To improve fuel economy and adaptability of various driving conditions to online energy management and to enhance the response performance of an engine to a desired torque, a hierarchical model predictive control (MPC) scheme is presented in this paper using the example of a spray-painting construction vehicle. The upper layer is a stochastic MPC (SMPC) based energy management control strategy (EMS) and the lower layer is an MPC-based tracking controller with disturbance estimator of the diesel engine. In the SMPC-EMS of the upper-layer management, a Markov model is built using driving condition data of the actual construction vehicle to predict future torque demands over a finite receding horizon to deal with the randomness of the driving conditions. A multistage stochastic optimization problem is formulated, and a scenario-based enumeration approach is used to solve the stochastic optimization problem for online implementation. In the lower-layer tracking controller, a disturbance estimator is designed to handle the uncertainty of the engine, and the MPC is introduced to ensure the tracking performance of the output torque of the engine for the distributed torque from the upper-layer SMPC-EMS, and therefore really achieve high efficiency of the diesel engine. The proposed strategy is evaluated using both simulation MATLAB/Simulink and the experimental test platform through a comparison with several existing strategies in two real driving conditions. The results demonstrate that the proposed strategy (SMPC+MPC) improves miles per gallon an average by 7.3% and 5.9% as compared with the control strategy (RB+PID) consisting of a rule-based (RB) management strategy and proportional-integral-derivative (PID) controller of the engine in simulation and experiment, respectively.

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