Développement d'un système de gestion de batterie lithium-ion à destination de véhicules "mild hybrid" : détermination des indicateurs d'état (SoC, SoH et SoF)

Hybrid vehicles are developing with increasing use of energy storage elements based on lithium-ion battery. In this context, the use of battery is atypical and highly dependent on energy allocation strategies within the vehicle. Among these vehicles, the mild hybrid category retains heat engine for the autonomy that offer and adds to it an electric machine associated with a reversible storage system, to allow the kinetic energy recovery of the vehicle. The object of this work involves the development of algorithms for determining the states of charge (SoC) and health (SoH) and function (SoF) of each cell that compose a lithium-ion battery pack. These features are implemented in a Battery Management System (BMS) for industrial production. In order to reduce production costs, our work attempts to limit the computing power and the measuring sensors necessary for these states determination. From battery measurements in a "mild hybrid" use, developed methods allow the states determination, as well as some of the internal parameters of cells. This application is characterized by high currents and maintaining a SoC of around 50%, in order to maximize the availability of the battery and to minimize aging. The use of observers and estimators, using a simplified model cell, allows us to achieve satisfactory results with a reduced computing powerLes véhicules hybrides se démocratisent avec une utilisation croissante des éléments de stockage à base de lithium-ion. Dans ce contexte d'exploitation, le type d'usage est atypique et dépend fortement des stratégies de répartition des énergies au sein du véhicule. Parmi les hybridations, la catégorie "mild hybrid" conserve la motorisation thermique pour l'autonomie qu'elle apporte, et lui adjoint une machine électrique associée à un élément de stockage réversible, afin de permettre une récupération de l'énergie cinétique du véhicule. L'objet de ces travaux porte sur la mise en place d'algorithmes destinés à la détermination des états de charge (SoC), de santé (SoH) et de fonction (SoF) de chacune des cellules qui compose un pack batterie lithium-ion. Ces fonctionnalités sont implantées dans un système de gestion dénommé BMS pour Battery Management System. Dans un souci de réduction des coûts de production, nos travaux s'attachent à limiter la puissance de calcul et les moyens de mesure nécessaires à la détermination de ces états. À partir de mesures effectuées lors d'une utilisation de la batterie dans une application "mild hybrid", les méthodes développées permettent la détermination des états, ainsi que d'une partie des paramètres internes aux cellules. Cette utilisation est caractérisée par de forts courants et un maintien de l'état de charge autour de 50 %, ceci afin de maximiser la disponibilité de la batterie et d'en minimiser le vieillissement. L'utilisation d'observateurs et de méthodes en boucle ouverte, à partir d'une modélisation simplifiée de cellule, nous permet d'obtenir des résultats satisfaisants avec une puissance de calcul réduit

Development of lithium-ion battery management system for mild hybrid vehicles : state indicators determination (SoC, SoH and SoF)

Les véhicules hybrides se démocratisent avec une utilisation croissante des éléments de stockage à base de lithium-ion. Dans ce contexte d'exploitation, le type d'usage est atypique et dépend fortement des stratégies de répartition des énergies au sein du véhicule. Parmi les hybridations, la catégorie "mild hybrid" conserve la motorisation thermique pour l'autonomie qu'elle apporte, et lui adjoint une machine électrique associée à un élément de stockage réversible, afin de permettre une récupération de l'énergie cinétique du véhicule. L'objet de ces travaux porte sur la mise en place d'algorithmes destinés à la détermination des états de charge (SoC), de santé (SoH) et de fonction (SoF) de chacune des cellules qui compose un pack batterie lithium-ion. Ces fonctionnalités sont implantées dans un système de gestion dénommé BMS pour Battery Management System. Dans un souci de réduction des coûts de production, nos travaux s'attachent à limiter la puissance de calcul et les moyens de mesure nécessaires à la détermination de ces états. À partir de mesures effectuées lors d'une utilisation de la batterie dans une application "mild hybrid", les méthodes développées permettent la détermination des états, ainsi que d'une partie des paramètres internes aux cellules. Cette utilisation est caractérisée par de forts courants et un maintien de l'état de charge autour de 50 %, ceci afin de maximiser la disponibilité de la batterie et d'en minimiser le vieillissement. L'utilisation d'observateurs et de méthodes en boucle ouverte, à partir d'une modélisation simplifiée de cellule, nous permet d'obtenir des résultats satisfaisants avec une puissance de calcul réduiteHybrid vehicles are developing with increasing use of energy storage elements based on lithium-ion battery. In this context, the use of battery is atypical and highly dependent on energy allocation strategies within the vehicle. Among these vehicles, the mild hybrid category retains heat engine for the autonomy that offer and adds to it an electric machine associated with a reversible storage system, to allow the kinetic energy recovery of the vehicle. The object of this work involves the development of algorithms for determining the states of charge (SoC) and health (SoH) and function (SoF) of each cell that compose a lithium-ion battery pack. These features are implemented in a Battery Management System (BMS) for industrial production. In order to reduce production costs, our work attempts to limit the computing power and the measuring sensors necessary for these states determination. From battery measurements in a "mild hybrid" use, developed methods allow the states determination, as well as some of the internal parameters of cells. This application is characterized by high currents and maintaining a SoC of around 50%, in order to maximize the availability of the battery and to minimize aging. The use of observers and estimators, using a simplified model cell, allows us to achieve satisfactory results with a reduced computing powe

Luenberger Observer for SoC Determination of Lithium-Ion Cells in Mild Hybrid Vehicles, compared to a Kalman Filter

EVER 2015 - Tenth International Conference on Ecological Vehicles and Renewable Energies, MONACO, MONACO, 31-/03/2015 - 02/04/2015International audienceLi-ion batteries are continually developed for a wide range of use. New variants appear on the market, including Li-ion technologies that allow supplying very high electrical power. By consequence, the battery can be used as an energy buffer in vehicles. The autonomy is limited and it is necessary to determine the State of Charge of each element that makes up a battery, although these elements (Li-ion cells) are never fully discharged or charged. In this unusual context, a solution may be to use a Kalman filter at the cost of significant computing power. More computation-wise economical observers can beings used, in particular Luenberger observers. The results obtained for this type of specific use, give similar final results, with a significant gain on the computing power required

Practical Online Estimation of Lithium-Ion Battery Apparent Series Resistance for Mild Hybrid Vehicles

International audienceIn hybrid vehicles, lithium-ion cells constituting a battery pack are frequently used to provide and recover high power to assist the vehicle's internal combustion engine (ICE) powertrain. This usage is more present in mild hybrid applications where the battery does not have long discharge time. Under such conditions, the pack's series resistance {R}_{S} proved to be an important parameter to monitor since its evolution depends on the cell's characteristics (manufacturing tolerance, temperature, etc.). This resistance, which is monitored by the battery management system (BMS), reflecting the available power level in the cell can be used as an indicator to enhance the security of the battery pack. Its evolution can be used to quantify its aging (state of health: SoH). This paper presents an online approach to identify the cell's series resistance based on a direct estimation of {R}_{S} . This parameter can be usually identified through the voltage drop occurring across the cell caused by a high current variation profile (mild hybrid conditions). These estimated values are then filtered with an 'exponential moving average' method to limit the measurement noise effect. This approach provides good results for mild hybrid conditions, while minimizing the computing power required

Power Advanced N-level Digital Architecture for models of electrified vehicles and their components

International audienceThe PANDA project is a Research Innovation Action from the European H2020 programme. PANDA will enable the automotive industry to speed up design and testing of innovative electrified vehicles. In the PANDA project, multi-scale and multi-domain simulation packages are developed to interconnect all components of electrified vehicles. The EMR (Energetic Macroscopic Representation) formalism is used to unify the model organization. Moreover, all the models will be shared in a cloud for both stand-alone simulation and cloud computing. On the contrary to existing solutions which are based on a structural philosophy, PANDA is focused on functional-based approach. First results are provided to compare both approaches for the simulation of an electric vehicle. The EMR-based functional library leads to a reduced computation time of 15% in comparison with a structural-based simulation. This results confirms the ability of the PANDA solution for real-time simulation in particular for Hardware-In-the-Loop testing

Reliability and Safety Monitoring for more Electrical Transportation

International audienceDevelopment of hybrid and electrical cars encounters integration of a key enabler. Integration, at the largest meaning, delivers a system that is greater than the sum of its parts. New technologies are considered and tight combinations of existing technologies are experimented. Evaluating the possibilities of failure mechanism, investigation reliability and the way for active safety monitoring are impacted as studies have to be revisited and new approaches are to be delivered. In this context,Ampere-lab is carrying several activities that are summarized here. Activities on high-temperature have led to analyses of failure mechanisms and possibility of reliability evaluation on wide-band-gap semiconductors. Passive devices receive new efforts as temperature ranges are pushed. Storage components become key devices with the idea to bring their lifetime to the limit. Prognostics and diagnostics are renewed issues

BRAF V600E-Mutant Colorectal Cancers with Liver-Only Metastases: A Retrospective Study.

International audienceAbstract BACKGROUND BRAF V600E-mutant colorectal cancers (CRCs) are associated with shorter survival than BRAF wild-type tumors. Therapeutic decision-making for colorectal liver metastases (CRLM) harboring this mutation remains difficult due to the scarce literature. Our aim was to study a large cohort of BRAF V600E-mutant CRLM patients in order to identify prognostic factors associated with overall survival. METHODS We retrospectively identified BRAF V600E-mutant CRCs diagnosed with liver-only metastases, resected or not, between April 2008 and December 2017, in 25 French centers. Clinical, molecular, pathological characteristics and treatment features were collected. Overall survival (OS) was defined as the time from CRLM diagnosis to death from any cause. Cox proportional hazard models were used for statistical analysis. RESULTSAmong the 105 patients included, 79 (75%) received chemotherapy, 18 (17%) underwent upfront CRLM surgery, and 8 (8%) received exclusive best supportive care. CRLM surgery was performed in 49 (46.7%) patients. CRLM were mainly synchronous (90%) with bilobar presentation (61%). The median OS was 34 months (range, 28.9–67.3 months) for resected patients and 10.6 (6.7–12.5) months for unresected patients ( P < 0.0001). Most patients received doublet chemotherapy (72%), and 34% received a combination with bevacizumab as a first-line treatment. In multivariate analysis, primary tumor surgery (hazard ratio (HR) = 0.349; 95% confidence interval (CI) 0.164–0.744, P = 0.0064) and CRLM resection (HR = 0.169; 95% CI 0.082–0.348, P < 0.0001) were associated with significantly better OS. CONCLUSIONSIn the era of systemic cytotoxic chemotherapies, liver surgery seems to extend OS. Therefore, CRLM resectability should be assessed, regardless of mutational status

Prognostic factors of BRAF V600E colorectal cancer with liver metastases: a retrospective multicentric study

International audienceBACKGROUND: BRAF V600E-mutant colorectal cancers (CRCs) are associated with shorter survival than BRAF wild-type tumors. Therapeutic decision-making for colorectal liver metastases (CRLM) harboring this mutation remains difficult due to the scarce literature. The aim was to study a large cohort of BRAF V600E-mutant CRLM patients in order to see if surgery extend overall survival among others prognostic factors. METHODS: BRAF V600E-mutant CRCs diagnosed with liver-only metastases, resected or not, were retrospectively identified between April 2008 and December 2017, in 25 French centers. Clinical, molecular, pathological characteristics and treatment features were collected. Overall survival (OS) was defined as the time from CRLM diagnosis to death from any cause. Cox proportional hazard models were used for statistical analysis. RESULTS: Among the 105 patients included, 79 (75%) received chemotherapy, 18 (17%) underwent upfront CRLM surgery, and 8 (8%) received exclusive best supportive care. CRLM surgery was performed in 49 (46.7%) patients. CRLM were mainly synchronous (90%) with bilobar presentation (61%). The median OS was 34 months (range, 28.9-67.3 months) for resected patients and 10.6 (6.7-12.5) months for unresected patients (P &lt; 0.0001). In multivariate analysis, primary tumor surgery (hazard ratio (HR) = 0.349; 95% confidence interval (CI) 0.164-0.744, P = 0.0064) and CRLM resection (HR = 0.169; 95% CI 0.082-0.348, P &lt; 0.0001) were associated with significantly better OS. CONCLUSIONS: In the era of systemic cytotoxic chemotherapies, liver surgery seems to extend OS in BRAF V600E-mutant CRCs with liver only metastases historical cohort

: lanreotide as maintenance therapy after first-line (1l) treatment in patients with non-resectableduodeno-pancreatic neuroendocrine

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