A Comparative Study Of Supervisory Control Strategies for Hybrid Electric Vehicles

By Pierluigi Pisu, Giorgio Rizzoni. IEEE Transactions on Control Systems Technology, 2007

604 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4c689f3f9ee3ba2fe000ccb5088d09057f26beeb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Optimal Control of Hybrid Electric Vehicles Based on Pontryagin's Minimum Principle (2011, neutral): “so ECMS could show good results, as in [9], [25].”
Classification and Review of Control Strategies for Plug-In Hybrid Electric Vehicles (2011, methodology): “Another example of a rule-based control strategy is the energy management strategy proposed by Pisu and Rizzoni [28] for HEVs.”
MPC-Based Energy Management of a Power-Split Hybrid Electric Vehicle (2012, methodology): “Comprehensive reviews of these optimal control methods, along with heuristic rule-based methods, can be found in [6] and [7].”
Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles (2015, methodology): “2359176 demonstrated that given an appropriate equivalence factor, ECMS is comparable with DP [6].”
A Pontryagin Minimum Principle-Based Adaptive Equivalent Consumption Minimum Strategy for a Plug-in Hybrid Electric Bus on a Fixed Route (2017, methodology): “Known as a typical global algorithm, dynamic programming (DP) has been widely utilized to optimize the EMS, making it a benchmark to evaluate other methods [9,10].”
Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, methodology): “Approaches that systematically address the information gap in real-time are mostly based on robust control [78, 92], stochastic dynamic programming, and MPC. Stochastic dynamic programming is used e.g. in [93] to minimize the discounted inﬁnite-horizon cost, and in [94, 95] in a shortest path…”
A Comparative Study of Energy Management Schemes for a Fuel-Cell Hybrid Emergency Power System of More-Electric Aircraft (2014, background): “Moreover, these studies include only a few of the existing EMSs, and their impact on the overall efficiency and life cycle of the whole system are often omitted [22], [23].”
Pontryagin’s Minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus (2019, background): “Dynamic programming has been extensively utilized in the development of energy management strategies (EMSs), ensuring a global optimality of both hybrid electric vehicles (HEVs) [14-15] and plug-in hybrid electric vehicles [2, 16].”
Predictive energy management of a power-split hybrid electric vehicle (2009, methodology): “A more detailed review of these optimal control methods along with heuristic rule-based methods can be found in [3] and [4].”