Perodua Myvi parallel hybrid hydraulic passenger vehicle fuel economy simulation on Malaysia drive cycle, using rule-based control strategy

2019 ◽  
Author(s):  
Muhammad Iftishah Ramdan ◽  
Ahmad Faizul Hawary
Keyword(s):  
Fuel Economy ◽  
Control Strategy ◽  
Passenger Vehicle ◽  
Drive Cycle ◽  
Rule Based ◽  
Parallel Hybrid

Depleting Mode Control Strategies for Plug-in Hybrid Electric Vehicles

2011 ◽  
Vol 130-134 ◽  
pp. 2211-2215
Author(s):  
Bing Zhan Zhang ◽  
Han Zhao ◽  
An Dong Yin
Keyword(s):  
Electric Vehicles ◽  
Fuel Economy ◽  
Control Strategy ◽  
Hybrid Electric Vehicles ◽  
Control Strategies ◽  
Great Influence ◽  
Torque Control ◽  
Drive Cycle ◽  
Vehicle Simulation ◽  
Hybrid Electric

Control strategy is the most important issue in the Plug-in Hybrid electric vehicles (PHEV) design, which has two modes: charge depleting mode (CD) and charge sustaining mode (CS). The different control strategies in depleting mode will have a great influence on PHEV dynamic performance and fuel economy. The engine optimal torque control strategy was proposed in the paper. The vehicle simulation model in Powertrain Systems Analysis Toolkit (PSAT) was adopted to evaluate the proposed control strategy. The aggressive highway drive cycle Artemis_hwy and a random drive cycle generated by Markov Process were used. The simulation results indicate the proposed control strategy has great improvement in fuel economy.

Integration of a Dual-Mode SI-HCCI Engine Into Various Vehicle Architectures

2011 ◽  
Author(s):  
Benjamin J. Lawler ◽  
Zoran S. Filipi
Keyword(s):  
Fuel Economy ◽  
Control Strategy ◽  
Planetary Gear ◽  
Dual Mode ◽  
Engine Operation ◽  
Conventional Vehicle ◽  
Hcci Engine ◽  
Parallel Hybrid ◽  
Power Split ◽  
Mode Transitions

A simulation study was performed to evaluate the potential fuel economy benefits of integrating a dual-mode SI-HCCI engine into various vehicle architectures. The vehicle configurations that were considered include a conventional vehicle, a mild parallel hybrid, and a power-split hybrid. The three configurations were modeled and compared in detail for a given engine size (2.0 L for the conventional vehicle, 2.0 L for the mild parallel, and 1.5 L for the power-split) over the EPA UDDS (city) and Highway cycles. The results show that the dual-mode engine in the conventional vehicle offers a modest gain in vehicle fuel economy of approximately 5–7%. The gains were modest due to an advanced 6-speed transmission and a practically-based shift schedule, with which only 30% of the operating points were in the HCCI range for the city cycle and 56% for the highway cycle. The mild parallel hybrid achieved 32% better fuel economy than the conventional vehicle, both with SI engines. For the dual-mode engine in the mild parallel hybrid, a specific control strategy was used to manipulate engine operation in an attempt to minimize the number of engine mode transitions and maximize the time spent in HCCI. The parallel hybrid with the dual-mode engine and modified control strategy provides dramatic improvements of up to 48% in city driving, demonstrating that the addition of HCCI has a more significant effect with parallel hybrids than conventional vehicles. The power-split hybrid simulation showed that adding a dual-mode engine had an insignificant effect on vehicle fuel economy, mostly due to the ability of the planetary gear set to act as an e-CVT and keep the engine at relatively high loads. Finally, a systematic study of engine sizing provides guidelines for selecting the best option for a given vehicle application by characterizing the vehicle level interactions, and their effect on fuel economy, over an engine displacement sweep.

scholarly journals Power Management Strategy of a Parallel Hybrid Three-Wheeler for Fuel and Emission Reduction

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1833
Author(s):  
Waruna Maddumage ◽  
Malika Perera ◽  
Rahula Attalage ◽  
Patrick Kelly
Keyword(s):  
Optimal Control ◽  
Dynamic Programming ◽  
Power Management ◽  
Control Strategy ◽  
Management Strategy ◽  
Hybrid Electric Vehicle ◽  
Rule Based ◽  
Power Management Strategy ◽  
Parallel Hybrid ◽  
Hybrid Electric

Millions of three-wheelers in large cities of Asia and Africa contribute to the already increasing urban air pollutants. An emerging method to reduce adverse effects of the growing three-wheeler fleet is hybrid-electric technology. The overall efficiency of a hybrid electric vehicle heavily depends on the power management strategy used in controlling the main powertrain components of the vehicle. Recent studies highlight the need for a comprehensive report on developing an easy-to-implement and efficient control strategy for hybrid electric three-wheelers. Thus, in the present study, a design methodology for a rule-based supervisory controller of a pre-transmission parallel hybrid three-wheeler based on an optimal control strategy (i.e., dynamic programming) is proposed. The optimal control problem for minimizing fuel, emissions (i.e., HC, CO and NOx) and gear shift frequency are solved using dynamic programming (DP). Numerical issues of DP are analyzed and trade-offs between optimizing objectives are presented. Since DP strategy cannot be implemented as a real-time controller, useful strategies are extracted to develop the proposed rule-based strategy. The developed rule-based strategy show performance within 10% of the DP results on WLTC and UDC-NEDC drive cycles and has the clear advantage of being near-optimal, easy-to-implement and computationally less demanding.

Integration of a Dual-Mode SI-HCCI Engine Into Various Vehicle Architectures

2013 ◽  
Vol 135 (5) ◽  
Author(s):  
Benjamin J. Lawler ◽  
Zoran S. Filipi
Keyword(s):  
Fuel Economy ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Si Engine ◽  
Dual Mode ◽  
Engine Operation ◽  
Conventional Vehicle ◽  
Hcci Engine ◽  
Parallel Hybrid ◽  
Mode Transitions

A simulation study was performed to evaluate the potential fuel economy benefits of integrating a dual-mode SI-HCCI engine into various vehicle architectures. The vehicle configurations that were considered include a conventional vehicle and a mild parallel hybrid electric vehicle. The two configurations were modeled and compared in detail for a given engine size (2.0 L) over the EPA UDDS (city) and highway cycles. The results show that the dual-mode engine in the conventional vehicle offers a modest gain in vehicle fuel economy of approximately 5–7%. The gains were modest because the baseline (the SI engine in the conventional vehicle) is relatively advanced with a six-speed automated manual transmission. The mild parallel hybrid with the SI engine achieved 32% better fuel economy than the conventional vehicle in the city, but only 6% on the highway. For the dual-mode engine in the mild parallel hybrid, a specific control strategy was used to manipulate engine operation in an attempt to minimize the number of engine mode transitions and maximize the time spent in HCCI. The parallel hybrid with the dual-mode engine and modified control strategy provides dramatic improvements of up to 48% for city driving, demonstrating that the addition of HCCI has a more significant impact with mild parallel hybrids than with conventional vehicles. Finally, a systematic study of engine sizing provides guidelines for selecting the best option for a given vehicle application.

Controls Development and Vehicle Drive Cycle Analysis of Integrated Turbocompounding, Electrification and Supercharging System (ITES)

2018 ◽  
Author(s):  
Satyum Joshi ◽  
Erik Koehler ◽  
Mufaddel Dahodwala ◽  
Michael Franke ◽  
Jeffrey D. Naber
Keyword(s):  
Fuel Economy ◽  
Control Strategy ◽  
Substantial Reduction ◽  
Development Effort ◽  
Drive Cycle ◽  
Engine Torque ◽  
Cycle Simulation ◽  
Battery Capacity ◽  
Power Split ◽  
Generator Unit

Integrated Turbocompounding, Electrification and Supercharging (ITES) is a novel approach for integrated implementation of technologies aimed at reduction of fuel consumption in a single unit. The ITES system optimally manages the power flow between the turbocompound turbine, secondary compressor, 48V electric motor/generator and engine by employing a planetary gear set. The unified approach delivers a substantial reduction in both expense and space claim while improving the overall system efficiency in comparison to the independent implementation of each of these individual technologies. As part of a previous development effort the ITES system functionality was validated through engine drive cycle simulation primarily utilizing the 48V motor generator unit for power split turbocompounding, power split supercharging and engine torque assist. In this latest development phase, the functionality of ITES system has been evaluated on a vehicle level model through a vehicle drive cycle simulation. First, a supervisory control strategy was developed for the ITES system to facilitate start-stop, regenerative braking and engine torque assist functionality using the ITES motor/generator unit. Next, a GT-Suite engine model developed for a downsized engine with the ITES unit applied, along with an appropriate control strategy, was integrated in to a class 6/7 vocational vehicle 1D model. The model was then simulated over the GHG Phase 2 ARB cycle and the fuel economy was compared to that of vehicle model with only the baseline engine configuration. Finally, the battery capacity was optimized to maximize vehicle fuel economy and battery life.

scholarly journals Benchmark fuel economy for a parallel hybrid electric three-wheeler vehicle (rickshaw)

2018 ◽  
Vol 10 (12) ◽  
pp. 168781401880865
Author(s):  
M Asghar ◽  
Aamir I Bhatti ◽  
Tahir Izhar
Keyword(s):  
Dynamic Programming ◽  
Fuel Consumption ◽  
Fuel Economy ◽  
Control Strategies ◽  
Substantial Improvement ◽  
Programming Technique ◽  
Rule Based ◽  
Optimal Rule ◽  
Parallel Hybrid ◽  
Hybrid Electric

The core contribution to this work is the development of benchmark fuel economy for a three-wheeler hybrid electric rickshaw and its comparison with heuristics controllers designed with optimal and non-optimal rules. Dynamic programming is used as a feasible technique for powertrain benchmark analysis. A parallel hybrid electric three-wheeler vehicle is modeled in MATLAB/Simulink through forward facing simulator. The dynamic programming technique is employed through the backward facing simulator, ensuring optimal power sharing between two energy sources (engine and motor) while keeping the battery state of charge in the charge-sustaining mode. The extracted rules from dynamic programming forming near-optimal control strategies are playing a vital role in deciding overall fuel consumption. Unlike the dynamic programming control actions, these extracted rules are implementable through the forward facing simulator. From the simulation results, it can be concluded that a substantial improvement of fuel economy is achieved through the application of dynamic programming. Rule-based (near-optimal) strategy using dynamic programming results shows about 9% more fuel consumption as compared with the dynamic programming (benchmark solution), which is then compared with non-optimal rule-based heuristics controller. It is shown that non-optimal rule-based controller has 18% more fuel consumption than dynamic programming results.

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