Power management strategy for a parallel hybrid electric truck

By Chan-Chiao Lin, Huei Peng, Jessy W. Grizzle, Junmo Kang. IEEE Transactions on Control Systems Technology, 2003

1,323 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/44ada8a37d4eba70e80e0676f9ad4bacc33cd9b3

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Citations in the corpus

MPC-Based Energy Management of a Power-Split Hybrid Electric Vehicle (2012, background): “, based on dynamic programming (DP) [2], [3] or have simplified the dynamic optimization problem to an equivalent instantaneous optimization, called equivalent consumption minimization strategy (ECMS) [4]–[6].”
A Pontryagin Minimum Principle-Based Adaptive Equivalent Consumption Minimum Strategy for a Plug-in Hybrid Electric Bus on a Fixed Route (2017, background): “In general, the most common on-broad strategy is on the basis of either the threshold rules or the rules governed by the fuzzy logic or even extracted from global optimization results [7,8].”
Modeling and Control of a Power-Split Hybrid Vehicle (2008, background): “By tuning the weighting factors, the compromise between fuel consumption and emission can be achieved [25].”
A Stochastic Optimal Control Approach for Power Management in Plug-In Hybrid Electric Vehicles (2011, methodology): “Within the specific context of PHEVs, power management research has generally focused on fuel economy improvement, subject to constraints on battery state of charge, using either the rule-based [16] [17] or DDP approach [9] [10].”
Current Management in a Hybrid Fuel Cell Power System: A Model-Predictive Control Approach (2006, background): “In most scenarios, dynamic programming is used offline for a given load cycle and, therefore, is cycle specific [11], [12].”
A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management (2005, background): “This technique is in fact well suited to multistage processes requiring a sequence of interrelated decisions [2], [3].”
A stochastic control strategy for hybrid electric vehicles (2004, methodology): “In the SDP optimization, the weighting factors 40 μ = and 800 ν = are selected based on the tradeoff analysis conducted in [4].”
Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles (2015, background): “Globally, DP can ensure an optimal result when complete knowledge of driving conditions is prescribed [3].”
Classification and Review of Control Strategies for Plug-In Hybrid Electric Vehicles (2011, background): “did in their two implementations of DP [25], [26].”
Topological overview of hybrid electric and fuel cell vehicular power system architectures and configurations (2005, background): “A common operative characteristic for both types of series-parallel HEV systems is that the electric motor is used alone at start with ICE turned off [1], [13]–[15].”
Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends (2007, methodology): “[29] applied the DP technique to solve the optimal power management problem of a hybrid electric truck by minimizing a cost function over a driving cycle.”
Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control (2020, background): “ploited to develop a theoretically optimum energy management strategy and evaluate other algorithms [17], [18].”
Optimal Control of Hybrid Electric Vehicles Based on Pontryagin's Minimum Principle (2011, neutral): “Under those circumstances, the dynamic programming (DP) approach guarantees the global optimal results and had been investigated in several prior publications [1]–[3].”
Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective (2017, methodology): “An investigation of the optimal EMS for a fuel-cell hybrid is provided in [42], and gearshift control optimization is assessed in [7], [40], and [48].”