scholarly journals Implementation of an Energy Management Strategy with Drivability Constraints for a Dual-Motor Electric Vehicle

2019 ◽  
Vol 10 (2) ◽  
pp. 28
Author(s):  
Haiqing Wang ◽  
Hanfei Wu
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Management Strategy ◽  
Management Strategies ◽  
The Novel ◽  
Power Demand ◽  
Energy Management Strategy ◽  
Overall Efficiency ◽  
Simulation Results ◽  
Reducing Energy

This paper presents a real-time energy management strategy to distribute the power demand between two independent motors properly. Based on the characteristics of the novel transmission system, an enumeration-based searching approach is used to hunt for the optimal working points for both motors to maximize the overall efficiency. Like many energy management strategies, approaches that focus on reducing energy consumption can result in frequent gearshifts. To improve drivability and make a balance between energy consumption and gearshifts, a cost function is designed. To verify the effectiveness of the proposed method, a mathematical model is built, and the simulation results demonstrate the achieved improvements.

scholarly journals Electrified Powertrain with Multiple Planetary Gears and Corresponding Energy Management Strategy

Vehicles ◽  
2021 ◽  
Vol 3 (3) ◽  
pp. 341-356
Author(s):  
Daizy Rajput ◽  
Jose M. Herreros ◽  
Mauro S. Innocente ◽  
Joschka Schaub ◽  
Arash M. Dizqah
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Management Strategy ◽  
Hybrid Electric Vehicles ◽  
Mode Selection ◽  
Optimal Operation ◽  
Fourth Generation ◽  
Selection Strategy ◽  
Energy Management Strategy ◽  
Planetary Gears

Modern hybrid electric vehicles (HEVs) like the fourth generation of Toyota Prius incorporate multiple planetary gears (PG) to interconnect various power components. Previous studies reported that increasing the number of planetary gears from one to two reduces energy consumption. However, these studies did not compare one PG and two PGs topologies at their optimal operation. Moreover, the size of the powertrain components are not the same and hence the source of reduction in energy consumption is not clear. This paper investigates the effect of the number of planetary gears on energy consumption under optimal operation of the powertrain components. The powertrains with one and two PGs are considered and an optimal simultaneous torque distribution and mode selection strategy is proposed. The proposed energy management strategy (EMS) optimally distributes torque demands amongst the power components whilst also controlling clutches (i.e., mode selection). Results show that increasing from one to two PGs reduces energy consumption by 4%.

scholarly journals Development of Global Optimization Algorithm for Series-Parallel PHEV Energy Management Strategy Based on Radau Pseudospectral Knotting Method

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3268
Author(s):  
Kegang Zhao ◽  
Jinghao Bei ◽  
Yanwei Liu ◽  
Zhihao Liang
Keyword(s):  
Global Optimization ◽  
Energy Management ◽  
Computational Efficiency ◽  
Management Strategy ◽  
Hybrid Electric Vehicles ◽  
Minimum Principle ◽  
Management Strategies ◽  
Energy Management Strategy ◽  
Pontryagin Minimum Principle ◽  
Component Sizing

The powertrain model of the series-parallel plug-in hybrid electric vehicles (PHEVs) is more complicated, compared with series PHEVs and parallel PHEVs. Using the traditional dynamic programming (DP) algorithm or Pontryagin minimum principle (PMP) algorithm to solve the global-optimization-based energy management strategies of the series-parallel PHEVs is not ideal, as the solution time is too long or even impossible to solve. Chief engineers of hybrid system urgently require a handy tool to quickly solve global-optimization-based energy management strategies. Therefore, this paper proposed to use the Radau pseudospectral knotting method (RPKM) to solve the global-optimization-based energy management strategy of the series-parallel PHEVs to improve computational efficiency. Simulation results showed that compared with the DP algorithm, the global-optimization-based energy management strategy based on the RPKM improves the computational efficiency by 1806 times with a relative error of only 0.12%. On this basis, a bi-level nested component-sizing method combining the genetic algorithm and RPKM was developed. By applying the global-optimization-based energy management strategy based on RPKM to the actual development, the feasibility and superiority of RPKM applied to the global-optimization-based energy management strategy of the series-parallel PHEVs were further verified.

scholarly journals Research on Energy Management Strategies of Extended-Range Electric Vehicles Based on Driving Characteristics

2020 ◽  
Vol 11 (3) ◽  
pp. 54 ◽  
Author(s):  
Yuanbin Yu ◽  
Junyu Jiang ◽  
Zhaoxiang Min ◽  
Pengyu Wang ◽  
Wangsheng Shen
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Management Strategy ◽  
Control Strategies ◽  
Management Strategies ◽  
Principal Component ◽  
Driving Cycle ◽  
Control Parameters ◽  
Energy Management Strategy ◽  
Extended Range

The extended-range electric vehicle (E-REV) can solve the problems of short driving range and long charging time of pure electric vehicles, but it is necessary to control the engine working points and allocate the power of the energy sources reasonably. In order to improve the fuel economy of the vehicle, an energy management strategy (EMS) that can adapt to the daily driving characteristics of the driver and adjust the control parameters online is proposed in this paper. Firstly, through principal component analysis (PCA) and iterative self-organizing data analysis techniques algorithm (ISODATA) of historical driving data, a typical driving cycle which can describe driving characteristics of the driver is constructed. Then offline optimization of control parameters by adaptive simulated annealing under each typical driving cycle and online recognition of driving cycles by extreme learning machine (ELM) are applied to the adaptive multi-workpoints energy management strategy (A-MEMS) of E-REV. In the end, compared with traditional rule-based control strategies, A-MEMS achieves good fuel-saving and emission-reduction result by simulation verification, and it explores a new and feasible solution for the continuous upgrade of the EMS.

The Energy Management Strategy of Photovoltaic Energy Storage System

2014 ◽  
Vol 1006-1007 ◽  
pp. 727-731
Author(s):  
Feng Di ◽  
Wei Li ◽  
Fu Cheng Liu ◽  
Guang Ru Zhang ◽  
Guo Tao Hui
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Management Strategy ◽  
Storage System ◽  
Management Strategies ◽  
Energy Storage System ◽  
Energy Management Strategy ◽  
Photovoltaic Energy ◽  
Complete Set ◽  
Battery Energy

In order to prolong the service life of the battery, ensure the operation efficiency of photovoltaic energy storage system, the establishment of a complete set of battery energy management strategies for photovoltaic energy storage system is very necessary because of the intermittent of solar energy. A strategy based on the state of charge of the battery to realize energy management strategy for photovoltaic energy storage system is proposed in this paper. The simulation verifies the effectiveness of the proposed method and the results show that the method can realize the purpose better.

scholarly journals Adaptive MPC Based Real-Time Energy Management Strategy of the Electric Sanitation Vehicles

2021 ◽  
Vol 11 (2) ◽  
pp. 498
Author(s):  
Hao Wang ◽  
Hongwen He ◽  
Jianwei Li ◽  
Yunfei Bai ◽  
Yuhua Chang ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Power Distribution ◽  
Management Strategy ◽  
Electricity Consumption ◽  
Air Pollution Control ◽  
Energy Management Strategy ◽  
Power Requirement ◽  
The Road ◽  
On The Road

Electric sanitation vehicles have increasingly been applied to cleaning work due to the requirement of air pollution control. The power distribution and energy management strategy (EMS) influence the vehicle’s performance a lot both in the aspects of cleaning effect and electricity consumption. Aiming to improve energy economy and ensure clean tasks, first, the electricity consumption percentages of the vehicle onboard devices are analyzed and the main contributors are clarified, and the power requirement model of the working motor is built based on experimental data. Second, a universal modeling method of garbage distribution on the road surface is proposed, which implements a nonlinear autoregressive neural network as the predictor. Third, an adaptive model predictive control (AMPC)-based EMS is proposed and verified. The results show the AMPC method can accurately predict the garbage density and the proposed EMS can approximate the energy consumption of the DP-based EMS with little deviation. Compared to conventional rule-based EMS, the AMPC-based EMS achieved a 15.5% decrease in energy consumption as well as a 14.6% decrease in working time.

scholarly journals Determinants of Improving the Strategy of Sustainable Energy Management of Building Sustainable Value for Stakeholders—Experience of Organizations in Poland

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2878
Author(s):  
Aneta Wysokińska-Senkus
Keyword(s):  
Sustainable Development ◽  
Energy Management ◽  
Management Strategy ◽  
Fossil Fuels ◽  
Sustainable Energy ◽  
Management Strategies ◽  
Research Process ◽  
Environmental Indicators ◽  
Computer Assisted ◽  
Energy Management Strategy

The purpose of the research was to identify the factors determining the improvement of the sustainable energy management strategy in the process of building lasting value for stakeholders, identifying key activities supporting the process of improving the sustainable energy management strategy, and analyzing the degree of use of environmental indicators by organizations in Poland. In the research process, to achieve the assumed research goals, it was decided to use the following research methods: The “Delphic Method” and the CAWI method (Computer-Assisted Web Interview). The research was carried out on a sample of 102 organizations in Poland. The study identifies goals for the sustainable development of the organization, activities supporting the process of sustainable energy management, and indicators in the field of energy management. The key factors for the improvement of energy management strategies have been identified, including implementation of modern technologies, reduction of energy consumption, development of procedures, increase of employee awareness, and clearly defined goals in the field of energy management. The strategy of the organization’s future actions towards achieving sustainable development determines the process of creating value for stakeholders. Dialogue with stakeholders is one of the basic conditions for proper planning and implementation of the organization’s strategy and taking actions in the field of sustainable energy management. Effective energy management becomes a necessity. Organizations must take a number of steps to achieve maximum resource efficiency. This can only be achieved through a holistic approach to the process of formulating the goals of the organization, which is necessary in decision-making processes and in the approach to energy management. The Polish economy has been built on coal and other fossil fuels. So far, the majority of polish organizations have not cared about the natural environment and energy management, which is why the research on redefining their strategies is a novelty.

scholarly journals Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Xiaolan Wu ◽  
Guifang Guo ◽  
Zhifeng Bai
Keyword(s):  
Energy Management ◽  
Management Strategy ◽  
Combustion Engine ◽  
Cloud Model ◽  
Hybrid Vehicles ◽  
State Of Charge ◽  
Energy Management Strategy ◽  
Control Scheme ◽  
Parallel Hybrid ◽  
Simulation Results

Using the uncertain conversion capacity between the expressions of quantitative and qualitative concept in the cloud model, an energy management strategy based on cloud model is developed for parallel hybrid vehicles (PHVs). By the driver input and the state of charge (SOC) of the energy storage, a set of rules are developed to effectively determine the torque split between the internal combustion engine (ICE) and the electric motor. An analysis of the simulation results is conducted using ADVISOR in order to verify the effectiveness of the proposed control strategy. It is confirmed that the control scheme can be used to improve fuel economy and emission of the hybrid vehicles.

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