scholarly journals Instantaneous Minimum Fuel Consumption Control for Parallel Hybrid Hydraulic Excavator

2015 ◽  
Vol 9 (1) ◽  
pp. 181-188 ◽  
Author(s):  
Xu Miao ◽  
Zhao Dingxuan ◽  
Ni Tao ◽  
Wang Yao
Keyword(s):  
Fuel Consumption ◽  
Control Strategy ◽  
Power Output ◽  
Influence Factors ◽  
Operating Point ◽  
Bench Test ◽  
Power Train ◽  
Equivalent Fuel ◽  
Ultra Capacitor ◽  
Consumption Control

Hybrid excavator control strategy based on rules optimizes the specific fuel consumption only to determine engine operating point in the perspective of qualitative analysis, it is not sufficient to reduce the excavator fuel consumption because of ignoring the affect of engine power output. In this paper, an instantaneous minimum fuel consumption control strategy for hybrid power-train is proposed, strategy determines the ideal operating point taking both the main influence factors of fuel consumption into consideration, the ultra-capacitor energy variation which is caused by the motor power output is converted to the equivalent fuel consumption and included in the current power-train fuel consumption. The output torque combination of the engine and motor which minimize the current fuel consumption is adopted. The bench test results validate that the engine is 12% fuel saving on average after optimizing, and at the same time the ultra-capacitor energy is effectively maintained.

Study of the Minimization of Instantaneous Equivalent Fuel Consumption Control Strategy of HEV

2012 ◽  
Vol 462 ◽  
pp. 669-675 ◽  
Author(s):  
Peng Yu Wang ◽  
Qing Nian Wang ◽  
Zhi Xuan Li ◽  
Qing Lin Zhu
Keyword(s):  
Fuel Consumption ◽  
Penalty Function ◽  
Control Strategy ◽  
Regenerative Braking ◽  
Optimization Of Parameters ◽  
Equivalent Fuel ◽  
Equivalent Fuel Consumption ◽  
Orthogonal Optimization ◽  
Consumption Control ◽  
Precise Expression

A control strategy which based on minimum instantaneous equivalent fuel consumption was proposed in this paper. The important parameters that affected the calculation of instantaneous fuel consumption were analyzed. The important parameters include battery equivalent fuel consumption, penalty function to maintain the battery SOC and the revise of the regenerative braking energy. More precise expression of minimum instantaneous fuel consumption was deduced. Under the simulation platform of ADVISOR software, orthogonal optimization of parameters was performed and the range of important parameters in the optimization of expression was determined.

Equivalent fuel consumption optimal control of a series hybrid electric vehicle

2009 ◽  
Vol 223 (8) ◽  
pp. 1003-1018 ◽  
Author(s):  
J-P Gao ◽  
G-M G Zhu ◽  
E G Strangas ◽  
F-C Sun
Keyword(s):  
Optimal Control ◽  
Fuel Consumption ◽  
Control Strategy ◽  
Supervisory Control ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
Optimal Control Strategy ◽  
Equivalent Fuel ◽  
Hybrid Electric ◽  
Equivalent Fuel Consumption

Improvements in hybrid electric vehicle fuel economy with reduced emissions strongly depend on their supervisory control strategy. In order to develop an efficient real-time supervisory control strategy for a series hybrid electric bus, the proposed equivalent fuel consumption optimal control strategy is compared with two popular strategies, thermostat and power follower, using backward simulations in ADVISOR. For given driving cycles, global optimal solutions were also obtained using dynamic programming to provide an optimization target for comparison purposes. Comparison simulations showed that the thermostat control strategy optimizes the operation of the internal combustion engine and the power follower control strategy minimizes the battery charging and discharging operations which, hence, reduces battery power loss and extends the battery life. The equivalent fuel consumption optimal control strategy proposed in this paper provides an overall system optimization between the internal combustion engine and battery efficiencies, leading to the best fuel economy.

scholarly journals Energy Control Strategy for Parallel Hybrid Electric Vehicle Based on Terminal Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Haitao Yan ◽  
Yongzhi Xu
Keyword(s):  
Neural Network ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Energy Control ◽  
Time Performance ◽  
Equivalent Fuel ◽  
Hybrid Electric ◽  
Equivalent Fuel Consumption

Energy control strategy is a key technology of hybrid electric vehicle, and its control effect directly affects the overall performance of the vehicle. The current control strategy has some shortcomings such as poor adaptability and poor real-time performance. Therefore, a transient energy control strategy based on terminal neural network is proposed. Firstly, based on the definition of instantaneous control strategy, the equivalent fuel consumption of power battery was calculated, and the objective function of the minimum instantaneous equivalent fuel consumption control strategy was established. Then, for solving the time-varying nonlinear equations used to control the torque output, a terminal recursive neural network calculation method using BARRIER functions is designed. The convergence characteristic is analyzed according to the activation function graph, and then the stability of the model is analyzed and the time efficiency of the error converging to zero is deduced. Using ADVISOR software, the hybrid power system model is simulated under two typical operating conditions. Simulation results show that the hybrid electric vehicle using the proposed instantaneous energy control strategy can not only ensure fuel economy but also shorten the control reaction time and effectively improve the real-time performance.

scholarly journals Adaptive Smoothing Power Following Control Strategy Based on an Optimal Efficiency Map for a Hybrid Electric Tracked Vehicle

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1893 ◽  
Author(s):  
Baodi Zhang ◽  
Sheng Guo ◽  
Xin Zhang ◽  
Qicheng Xue ◽  
Lan Teng
Keyword(s):  
Fuel Consumption ◽  
Control Strategy ◽  
Hydraulic Pump ◽  
Tracked Vehicle ◽  
Adaptive Smoothing ◽  
Equivalent Fuel ◽  
Insufficient Response ◽  
Hybrid Electric ◽  
Optimal Efficiency ◽  
Efficiency Map

The series hybrid electric powertrain is the main architecture of the hybrid electric tracked vehicle. For a series tracked hybrid electric bulldozer (HEB), frequent fluctuations of the engine working points, deviation of the genset working points from the pre-set target trajectory due to an insufficient response, or interference of the hydraulic pump consumed torque, will all result in increased fuel consumption. To solve the three problems of fuel economy, an adaptive smooth power following (ASPF) control strategy based on an optimal efficiency map is proposed. The strategy combines a fuzzy adaptive filter algorithm with a genset’s optimal efficiency, which can adaptively smooth the working points of the genset and search the trajectory for the genset’s best efficiency when the hydraulic pump torque is involved. In this study, the proposed strategy was compared on the established HEB hardware in loop (HIL) platform with two other strategies: a power following strategy in a preliminarily practical application (PF1) and a typical power following strategy based on the engine minimum fuel consumption curve (PF2). The results of the comparison show that (1) the proposed approach can significantly reduce the fluctuation and pre-set trajectory deviation of the engine and generator working points; (2) the ASPF strategy achieves a 7.8% improvement in the equivalent fuel saving ratio (EFSR) over the PF1 strategy, and a 3.4% better ratio than the PF2 strategy; and (3) the ASPF strategy can be implemented online with a practical controller.

scholarly journals Research on the control strategy of power train systems for hybrid hydraulic excavators

2018 ◽  
Vol 10 (7) ◽  
pp. 168781401879066
Author(s):  
Qihuai Chen ◽  
Tianliang Lin ◽  
Haoling Ren ◽  
Shengjie Fu
Keyword(s):  
Energy Conservation ◽  
Control Strategy ◽  
High Efficiency ◽  
Dynamic Performance ◽  
State Of Charge ◽  
Hydraulic Excavator ◽  
Power Train ◽  
Hybrid Power ◽  
Ultra Capacitor ◽  
Train System

Hybrid power technology is a practicable method for construction machinery to improve fuel utilization and reduce emissions. In this article, in order to achieve the maximum degree of energy conservation for hybrid hydraulic excavator, a study on a control strategy of the hybrid power train system for a 20-t hybrid hydraulic excavator is conducted. A rule-based method which stabilizes the engine operating points in high-efficiency area and maintains the state of charge of the ultra-capacitor in a feasible operating range is presented. Meanwhile, to improve the reliability of the ultra-capacitor, a two-stage state of charge constraint is applied. To validate the effectiveness of the control strategy, a hybrid power train system simulation loading experiment platform is built. The working characteristics and the energy conservation characteristics of the hybrid power train system are explored. Actual load profiles measured from a 20-t traditional excavator are measured and applied in the system. The experimental results show that the proposed control strategy for the hybrid power train system can improve the fuel economy of the hybrid hydraulic excavator. Meanwhile, dynamic performance of the hybrid power train system is better than that of the traditional excavator.

scholarly journals Adaptive energy control strategy of PHEV based on the Pontryagin’s minimum principle algorithm

2021 ◽  
Vol 13 (8) ◽  
pp. 168781402110355
Author(s):  
Dapai Shi ◽  
Kangjie Liu ◽  
Yun Wang ◽  
Ruijun Liu ◽  
Shicheng Li ◽  
...  
Keyword(s):  
Control Problem ◽  
Fuel Consumption ◽  
Control Strategy ◽  
Control Strategies ◽  
Minimum Principle ◽  
Optimization Methods ◽  
Pontryagin’S Minimum Principle ◽  
Energy Control ◽  
Pontryagin's Minimum Principle ◽  
Equivalent Fuel

The optimization of energy control strategy is one of the key technologies of plug-in hybrid vehicles (PHEVs) to improve the capabilities of energy saving and emission reduction. In order to improve fuel economy of PHEV, adaptive equivalent minimum fuel consumption strategy (A-ECMS) is proposed. Firstly, optimization methods of different energy control strategies are analyzed, and the Pontryagin’s Minimum Principle (PMP) and the equivalent fuel consumption theory are selected to optimize energy control strategy of the PHEV. Secondly, the configuration of PHEV and research objectives of the power control system are determined. Thirdly, the energy control problem is analyzed by the PMP theory, and the improvement measures for the energy control problem are put forward by the equivalent minimum fuel consumption strategy (ECMS). Fourthly, after analyzing the relationship between the equivalent factor and reference SOC, adaptive equivalent minimum fuel consumption strategy (A-ECMS) model is established by MATLAB/Simulink. Finally, combined with Cruise software, the PHEV simulation model is simulated, and the simulation results are analyzed. The results show that compared with the CD/CS energy control strategy, the A-ECMS energy control strategy reduced the 100 km fuel consumption of the vehicle by 7% under three times WLTC driving condition.

scholarly journals Coupled Engine-Propeller Selection Procedure to Minimize Fuel Consumption at a Specified Speed

2021 ◽  
Vol 9 (1) ◽  
pp. 59
Author(s):  
Mina Tadros ◽  
Roberto Vettor ◽  
Manuel Ventura ◽  
Carlos Guedes Soares
Keyword(s):  
Fuel Consumption ◽  
Selection Procedure ◽  
Optimization Procedure ◽  
Operating Point ◽  
Power Prediction ◽  
Ship Routing ◽  
Marine Propellers ◽  
Operational Profile ◽  
Calm Water ◽  
Engine Operating Point

This study presents a practical optimization procedure that couples the NavCad power prediction tool and a nonlinear optimizer integrated into the Matlab environment. This developed model aims at selecting a propeller at the engine operating point with minimum fuel consumption for different ship speeds in calm water condition. The procedure takes into account both the efficiency of the propeller and the specific fuel consumption of the engine. It is focused on reducing fuel consumption for the expected operational profile of the ship, contributing to energy efficiency in a complementary way as ship routing does. This model assists the ship and propeller designers in selecting the main parameters of the geometry, the operating point of a fixed-pitch propeller from Wageningen B-series and to define the gearbox ratio by minimizing the fuel consumption of a container ship, rather than only maximizing the propeller efficiency. Optimized results of the performance of several marine propellers with different number of blades working at different cruising speeds are also presented for comparison, while verifying the strength, cavitation and noise issues for each simulated case.

Sign in / Sign up

Export Citation Format

Share Document